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@@ -7,7 +7,6 @@ node_modules
|
||||
/package
|
||||
.env
|
||||
.env.*
|
||||
!.env.example
|
||||
vite.config.js.timestamp-*
|
||||
vite.config.ts.timestamp-*
|
||||
__pycache__
|
||||
|
||||
+2
-2
@@ -1,6 +1,6 @@
|
||||
# Ollama URL for the backend to connect
|
||||
# The path '/ollama/api' will be redirected to the specified backend URL
|
||||
OLLAMA_API_BASE_URL='http://localhost:11434/api'
|
||||
# The path '/ollama' will be redirected to the specified backend URL
|
||||
OLLAMA_BASE_URL='http://localhost:11434'
|
||||
|
||||
OPENAI_API_BASE_URL=''
|
||||
OPENAI_API_KEY=''
|
||||
|
||||
@@ -32,7 +32,7 @@ assignees: ''
|
||||
**Confirmation:**
|
||||
|
||||
- [ ] I have read and followed all the instructions provided in the README.md.
|
||||
- [ ] I have reviewed the troubleshooting.md document.
|
||||
- [ ] I am on the latest version of both Open WebUI and Ollama.
|
||||
- [ ] I have included the browser console logs.
|
||||
- [ ] I have included the Docker container logs.
|
||||
|
||||
|
||||
@@ -19,24 +19,34 @@ jobs:
|
||||
echo "No changes to package.json"
|
||||
exit 1
|
||||
}
|
||||
|
||||
|
||||
- name: Get version number from package.json
|
||||
id: get_version
|
||||
run: |
|
||||
VERSION=$(jq -r '.version' package.json)
|
||||
echo "::set-output name=version::$VERSION"
|
||||
|
||||
- name: Extract latest CHANGELOG entry
|
||||
id: changelog
|
||||
run: |
|
||||
CHANGELOG_CONTENT=$(awk 'BEGIN {print_section=0;} /^## \[/ {if (print_section == 0) {print_section=1;} else {exit;}} print_section {print;}' CHANGELOG.md)
|
||||
CHANGELOG_ESCAPED=$(echo "$CHANGELOG_CONTENT" | sed ':a;N;$!ba;s/\n/%0A/g')
|
||||
echo "Extracted latest release notes from CHANGELOG.md:"
|
||||
echo -e "$CHANGELOG_CONTENT"
|
||||
echo "::set-output name=content::$CHANGELOG_ESCAPED"
|
||||
|
||||
- name: Create GitHub release
|
||||
uses: actions/github-script@v5
|
||||
with:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
script: |
|
||||
const changelog = `${{ steps.changelog.outputs.content }}`;
|
||||
const release = await github.rest.repos.createRelease({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
tag_name: `v${{ steps.get_version.outputs.version }}`,
|
||||
name: `v${{ steps.get_version.outputs.version }}`,
|
||||
body: 'Automatically created new release',
|
||||
body: changelog,
|
||||
})
|
||||
console.log(`Created release ${release.data.html_url}`)
|
||||
|
||||
|
||||
@@ -5,6 +5,64 @@ All notable changes to this project will be documented in this file.
|
||||
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
|
||||
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
|
||||
|
||||
## [0.1.112] - 2024-03-15
|
||||
|
||||
### Fixed
|
||||
|
||||
- 🗨️ Resolved chat malfunction after image generation.
|
||||
- 🎨 Fixed various RAG issues.
|
||||
- 🧪 Rectified experimental broken GGUF upload logic.
|
||||
|
||||
## [0.1.111] - 2024-03-10
|
||||
|
||||
### Added
|
||||
|
||||
- 🛡️ **Model Whitelisting**: Admins now have the ability to whitelist models for users with the 'user' role.
|
||||
- 🔄 **Update All Models**: Added a convenient button to update all models at once.
|
||||
- 📄 **Toggle PDF OCR**: Users can now toggle PDF OCR option for improved parsing performance.
|
||||
- 🎨 **DALL-E Integration**: Introduced DALL-E integration for image generation alongside automatic1111.
|
||||
- 🛠️ **RAG API Refactoring**: Refactored RAG logic and exposed its API, with additional documentation to follow.
|
||||
|
||||
### Fixed
|
||||
|
||||
- 🔒 **Max Token Settings**: Added max token settings for anthropic/claude-3-sonnet-20240229 (Issue #1094).
|
||||
- 🔧 **Misalignment Issue**: Corrected misalignment of Edit and Delete Icons when Chat Title is Empty (Issue #1104).
|
||||
- 🔄 **Context Loss Fix**: Resolved RAG losing context on model response regeneration with Groq models via API key (Issue #1105).
|
||||
- 📁 **File Handling Bug**: Addressed File Not Found Notification when Dropping a Conversation Element (Issue #1098).
|
||||
- 🖱️ **Dragged File Styling**: Fixed dragged file layover styling issue.
|
||||
|
||||
## [0.1.110] - 2024-03-06
|
||||
|
||||
### Added
|
||||
|
||||
- **🌐 Multiple OpenAI Servers Support**: Enjoy seamless integration with multiple OpenAI-compatible APIs, now supported natively.
|
||||
|
||||
### Fixed
|
||||
|
||||
- **🔍 OCR Issue**: Resolved PDF parsing issue caused by OCR malfunction.
|
||||
- **🚫 RAG Issue**: Fixed the RAG functionality, ensuring it operates smoothly.
|
||||
- **📄 "Add Docs" Model Button**: Addressed the non-functional behavior of the "Add Docs" model button.
|
||||
|
||||
## [0.1.109] - 2024-03-06
|
||||
|
||||
### Added
|
||||
|
||||
- **🔄 Multiple Ollama Servers Support**: Enjoy enhanced scalability and performance with support for multiple Ollama servers in a single WebUI. Load balancing features are now available, providing improved efficiency (#788, #278).
|
||||
- **🔧 Support for Claude 3 and Gemini**: Responding to user requests, we've expanded our toolset to include Claude 3 and Gemini, offering a wider range of functionalities within our platform (#1064).
|
||||
- **🔍 OCR Functionality for PDF Loader**: We've augmented our PDF loader with Optical Character Recognition (OCR) capabilities. Now, extract text from scanned documents and images within PDFs, broadening the scope of content processing (#1050).
|
||||
|
||||
### Fixed
|
||||
|
||||
- **🛠️ RAG Collection**: Implemented a dynamic mechanism to recreate RAG collections, ensuring users have up-to-date and accurate data (#1031).
|
||||
- **📝 User Agent Headers**: Fixed issue of RAG web requests being sent with empty user_agent headers, reducing rejections from certain websites. Realistic headers are now utilized for these requests (#1024).
|
||||
- **⏹️ Playground Cancel Functionality**: Introducing a new "Cancel" option for stopping Ollama generation in the Playground, enhancing user control and usability (#1006).
|
||||
- **🔤 Typographical Error in 'ASSISTANT' Field**: Corrected a typographical error in the 'ASSISTANT' field within the GGUF model upload template for accuracy and consistency (#1061).
|
||||
|
||||
### Changed
|
||||
|
||||
- **🔄 Refactored Message Deletion Logic**: Streamlined message deletion process for improved efficiency and user experience, simplifying interactions within the platform (#1004).
|
||||
- **⚠️ Deprecation of `OLLAMA_API_BASE_URL`**: Deprecated `OLLAMA_API_BASE_URL` environment variable; recommend using `OLLAMA_BASE_URL` instead. Refer to our documentation for further details.
|
||||
|
||||
## [0.1.108] - 2024-03-02
|
||||
|
||||
### Added
|
||||
|
||||
+5
-3
@@ -20,7 +20,7 @@ FROM python:3.11-slim-bookworm as base
|
||||
ENV ENV=prod
|
||||
ENV PORT ""
|
||||
|
||||
ENV OLLAMA_API_BASE_URL "/ollama/api"
|
||||
ENV OLLAMA_BASE_URL "/ollama"
|
||||
|
||||
ENV OPENAI_API_BASE_URL ""
|
||||
ENV OPENAI_API_KEY ""
|
||||
@@ -41,7 +41,7 @@ ENV WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models"
|
||||
# for better persormance and multilangauge support use "intfloat/multilingual-e5-large" (~2.5GB) or "intfloat/multilingual-e5-base" (~1.5GB)
|
||||
# IMPORTANT: If you change the default model (all-MiniLM-L6-v2) and vice versa, you aren't able to use RAG Chat with your previous documents loaded in the WebUI! You need to re-embed them.
|
||||
ENV RAG_EMBEDDING_MODEL="all-MiniLM-L6-v2"
|
||||
# device type for whisper tts and ebbeding models - "cpu" (default), "cuda" (nvidia gpu and CUDA required) or "mps" (apple silicon) - choosing this right can lead to better performance
|
||||
# device type for whisper tts and embbeding models - "cpu" (default), "cuda" (nvidia gpu and CUDA required) or "mps" (apple silicon) - choosing this right can lead to better performance
|
||||
ENV RAG_EMBEDDING_MODEL_DEVICE_TYPE="cpu"
|
||||
ENV RAG_EMBEDDING_MODEL_DIR="/app/backend/data/cache/embedding/models"
|
||||
ENV SENTENCE_TRANSFORMERS_HOME $RAG_EMBEDDING_MODEL_DIR
|
||||
@@ -53,6 +53,8 @@ WORKDIR /app/backend
|
||||
# install python dependencies
|
||||
COPY ./backend/requirements.txt ./requirements.txt
|
||||
|
||||
RUN apt-get update && apt-get install ffmpeg libsm6 libxext6 -y
|
||||
|
||||
RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir
|
||||
RUN pip3 install -r requirements.txt --no-cache-dir
|
||||
|
||||
@@ -79,4 +81,4 @@ COPY --from=build /app/package.json /app/package.json
|
||||
# copy backend files
|
||||
COPY ./backend .
|
||||
|
||||
CMD [ "bash", "start.sh"]
|
||||
CMD [ "bash", "start.sh"]
|
||||
|
||||
@@ -53,8 +53,6 @@ User-friendly WebUI for LLMs, supported LLM runners include Ollama and OpenAI-co
|
||||
|
||||
- 💬 **Collaborative Chat**: Harness the collective intelligence of multiple models by seamlessly orchestrating group conversations. Use the `@` command to specify the model, enabling dynamic and diverse dialogues within your chat interface. Immerse yourself in the collective intelligence woven into your chat environment.
|
||||
|
||||
- 🤝 **OpenAI API Integration**: Effortlessly integrate OpenAI-compatible API for versatile conversations alongside Ollama models. Customize the API Base URL to link with **LMStudio, Mistral, OpenRouter, and more**.
|
||||
|
||||
- 🔄 **Regeneration History Access**: Easily revisit and explore your entire regeneration history.
|
||||
|
||||
- 📜 **Chat History**: Effortlessly access and manage your conversation history.
|
||||
@@ -65,8 +63,18 @@ User-friendly WebUI for LLMs, supported LLM runners include Ollama and OpenAI-co
|
||||
|
||||
- ⚙️ **Fine-Tuned Control with Advanced Parameters**: Gain a deeper level of control by adjusting parameters such as temperature and defining your system prompts to tailor the conversation to your specific preferences and needs.
|
||||
|
||||
- 🎨🤖 **Image Generation Integration**: Seamlessly incorporate image generation capabilities using AUTOMATIC1111 API (local) and DALL-E, enriching your chat experience with dynamic visual content.
|
||||
|
||||
- 🤝 **OpenAI API Integration**: Effortlessly integrate OpenAI-compatible API for versatile conversations alongside Ollama models. Customize the API Base URL to link with **LMStudio, Mistral, OpenRouter, and more**.
|
||||
|
||||
- ✨ **Multiple OpenAI-Compatible API Support**: Seamlessly integrate and customize various OpenAI-compatible APIs, enhancing the versatility of your chat interactions.
|
||||
|
||||
- 🔗 **External Ollama Server Connection**: Seamlessly link to an external Ollama server hosted on a different address by configuring the environment variable.
|
||||
|
||||
- 🔀 **Multiple Ollama Instance Load Balancing**: Effortlessly distribute chat requests across multiple Ollama instances for enhanced performance and reliability.
|
||||
|
||||
- 👥 **Multi-User Management**: Easily oversee and administer users via our intuitive admin panel, streamlining user management processes.
|
||||
|
||||
- 🔐 **Role-Based Access Control (RBAC)**: Ensure secure access with restricted permissions; only authorized individuals can access your Ollama, and exclusive model creation/pulling rights are reserved for administrators.
|
||||
|
||||
- 🔒 **Backend Reverse Proxy Support**: Bolster security through direct communication between Open WebUI backend and Ollama. This key feature eliminates the need to expose Ollama over LAN. Requests made to the '/ollama/api' route from the web UI are seamlessly redirected to Ollama from the backend, enhancing overall system security.
|
||||
@@ -95,10 +103,10 @@ Don't forget to explore our sibling project, [Open WebUI Community](https://open
|
||||
|
||||
- **If Ollama is on a Different Server**, use this command:
|
||||
|
||||
- To connect to Ollama on another server, change the `OLLAMA_API_BASE_URL` to the server's URL:
|
||||
- To connect to Ollama on another server, change the `OLLAMA_BASE_URL` to the server's URL:
|
||||
|
||||
```bash
|
||||
docker run -d -p 3000:8080 -e OLLAMA_API_BASE_URL=https://example.com/api -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
|
||||
docker run -d -p 3000:8080 -e OLLAMA_BASE_URL=https://example.com -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
|
||||
```
|
||||
|
||||
- After installation, you can access Open WebUI at [http://localhost:3000](http://localhost:3000). Enjoy! 😄
|
||||
@@ -110,7 +118,7 @@ If you're experiencing connection issues, it’s often due to the WebUI docker c
|
||||
**Example Docker Command**:
|
||||
|
||||
```bash
|
||||
docker run -d --network=host -v open-webui:/app/backend/data -e OLLAMA_API_BASE_URL=http://127.0.0.1:11434/api --name open-webui --restart always ghcr.io/open-webui/open-webui:main
|
||||
docker run -d --network=host -v open-webui:/app/backend/data -e OLLAMA_BASE_URL=http://127.0.0.1:11434 --name open-webui --restart always ghcr.io/open-webui/open-webui:main
|
||||
```
|
||||
|
||||
### Other Installation Methods
|
||||
|
||||
+4
-4
@@ -4,7 +4,7 @@
|
||||
|
||||
The Open WebUI system is designed to streamline interactions between the client (your browser) and the Ollama API. At the heart of this design is a backend reverse proxy, enhancing security and resolving CORS issues.
|
||||
|
||||
- **How it Works**: The Open WebUI is designed to interact with the Ollama API through a specific route. When a request is made from the WebUI to Ollama, it is not directly sent to the Ollama API. Initially, the request is sent to the Open WebUI backend via `/ollama/api` route. From there, the backend is responsible for forwarding the request to the Ollama API. This forwarding is accomplished by using the route specified in the `OLLAMA_API_BASE_URL` environment variable. Therefore, a request made to `/ollama/api` in the WebUI is effectively the same as making a request to `OLLAMA_API_BASE_URL` in the backend. For instance, a request to `/ollama/api/tags` in the WebUI is equivalent to `OLLAMA_API_BASE_URL/tags` in the backend.
|
||||
- **How it Works**: The Open WebUI is designed to interact with the Ollama API through a specific route. When a request is made from the WebUI to Ollama, it is not directly sent to the Ollama API. Initially, the request is sent to the Open WebUI backend via `/ollama` route. From there, the backend is responsible for forwarding the request to the Ollama API. This forwarding is accomplished by using the route specified in the `OLLAMA_BASE_URL` environment variable. Therefore, a request made to `/ollama` in the WebUI is effectively the same as making a request to `OLLAMA_BASE_URL` in the backend. For instance, a request to `/ollama/api/tags` in the WebUI is equivalent to `OLLAMA_BASE_URL/api/tags` in the backend.
|
||||
|
||||
- **Security Benefits**: This design prevents direct exposure of the Ollama API to the frontend, safeguarding against potential CORS (Cross-Origin Resource Sharing) issues and unauthorized access. Requiring authentication to access the Ollama API further enhances this security layer.
|
||||
|
||||
@@ -15,7 +15,7 @@ If you're experiencing connection issues, it’s often due to the WebUI docker c
|
||||
**Example Docker Command**:
|
||||
|
||||
```bash
|
||||
docker run -d --network=host -v open-webui:/app/backend/data -e OLLAMA_API_BASE_URL=http://127.0.0.1:11434/api --name open-webui --restart always ghcr.io/open-webui/open-webui:main
|
||||
docker run -d --network=host -v open-webui:/app/backend/data -e OLLAMA_BASE_URL=http://127.0.0.1:11434 --name open-webui --restart always ghcr.io/open-webui/open-webui:main
|
||||
```
|
||||
|
||||
### General Connection Errors
|
||||
@@ -25,8 +25,8 @@ docker run -d --network=host -v open-webui:/app/backend/data -e OLLAMA_API_BASE_
|
||||
**Troubleshooting Steps**:
|
||||
|
||||
1. **Verify Ollama URL Format**:
|
||||
- When running the Web UI container, ensure the `OLLAMA_API_BASE_URL` is correctly set, including the `/api` suffix. (e.g., `http://192.168.1.1:11434/api` for different host setups).
|
||||
- When running the Web UI container, ensure the `OLLAMA_BASE_URL` is correctly set. (e.g., `http://192.168.1.1:11434` for different host setups).
|
||||
- In the Open WebUI, navigate to "Settings" > "General".
|
||||
- Confirm that the Ollama Server URL is correctly set to `[OLLAMA URL]/api` (e.g., `http://localhost:11434/api`), including the `/api` suffix.
|
||||
- Confirm that the Ollama Server URL is correctly set to `[OLLAMA URL]` (e.g., `http://localhost:11434`).
|
||||
|
||||
By following these enhanced troubleshooting steps, connection issues should be effectively resolved. For further assistance or queries, feel free to reach out to us on our community Discord.
|
||||
|
||||
+195
-55
@@ -21,7 +21,16 @@ from utils.utils import (
|
||||
from utils.misc import calculate_sha256
|
||||
from typing import Optional
|
||||
from pydantic import BaseModel
|
||||
from config import AUTOMATIC1111_BASE_URL
|
||||
from pathlib import Path
|
||||
import uuid
|
||||
import base64
|
||||
import json
|
||||
|
||||
from config import CACHE_DIR, AUTOMATIC1111_BASE_URL
|
||||
|
||||
|
||||
IMAGE_CACHE_DIR = Path(CACHE_DIR).joinpath("./image/generations/")
|
||||
IMAGE_CACHE_DIR.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
app = FastAPI()
|
||||
app.add_middleware(
|
||||
@@ -32,25 +41,34 @@ app.add_middleware(
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.state.ENGINE = ""
|
||||
app.state.ENABLED = False
|
||||
|
||||
app.state.OPENAI_API_KEY = ""
|
||||
app.state.MODEL = ""
|
||||
|
||||
|
||||
app.state.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
|
||||
app.state.ENABLED = app.state.AUTOMATIC1111_BASE_URL != ""
|
||||
|
||||
app.state.IMAGE_SIZE = "512x512"
|
||||
app.state.IMAGE_STEPS = 50
|
||||
|
||||
|
||||
@app.get("/enabled", response_model=bool)
|
||||
async def get_enable_status(request: Request, user=Depends(get_admin_user)):
|
||||
return app.state.ENABLED
|
||||
@app.get("/config")
|
||||
async def get_config(request: Request, user=Depends(get_admin_user)):
|
||||
return {"engine": app.state.ENGINE, "enabled": app.state.ENABLED}
|
||||
|
||||
|
||||
@app.get("/enabled/toggle", response_model=bool)
|
||||
async def toggle_enabled(request: Request, user=Depends(get_admin_user)):
|
||||
try:
|
||||
r = requests.head(app.state.AUTOMATIC1111_BASE_URL)
|
||||
app.state.ENABLED = not app.state.ENABLED
|
||||
return app.state.ENABLED
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
|
||||
class ConfigUpdateForm(BaseModel):
|
||||
engine: str
|
||||
enabled: bool
|
||||
|
||||
|
||||
@app.post("/config/update")
|
||||
async def update_config(form_data: ConfigUpdateForm, user=Depends(get_admin_user)):
|
||||
app.state.ENGINE = form_data.engine
|
||||
app.state.ENABLED = form_data.enabled
|
||||
return {"engine": app.state.ENGINE, "enabled": app.state.ENABLED}
|
||||
|
||||
|
||||
class UrlUpdateForm(BaseModel):
|
||||
@@ -58,17 +76,24 @@ class UrlUpdateForm(BaseModel):
|
||||
|
||||
|
||||
@app.get("/url")
|
||||
async def get_openai_url(user=Depends(get_admin_user)):
|
||||
async def get_automatic1111_url(user=Depends(get_admin_user)):
|
||||
return {"AUTOMATIC1111_BASE_URL": app.state.AUTOMATIC1111_BASE_URL}
|
||||
|
||||
|
||||
@app.post("/url/update")
|
||||
async def update_openai_url(form_data: UrlUpdateForm, user=Depends(get_admin_user)):
|
||||
async def update_automatic1111_url(
|
||||
form_data: UrlUpdateForm, user=Depends(get_admin_user)
|
||||
):
|
||||
|
||||
if form_data.url == "":
|
||||
app.state.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
|
||||
else:
|
||||
app.state.AUTOMATIC1111_BASE_URL = form_data.url.strip("/")
|
||||
url = form_data.url.strip("/")
|
||||
try:
|
||||
r = requests.head(url)
|
||||
app.state.AUTOMATIC1111_BASE_URL = url
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
|
||||
|
||||
return {
|
||||
"AUTOMATIC1111_BASE_URL": app.state.AUTOMATIC1111_BASE_URL,
|
||||
@@ -76,6 +101,30 @@ async def update_openai_url(form_data: UrlUpdateForm, user=Depends(get_admin_use
|
||||
}
|
||||
|
||||
|
||||
class OpenAIKeyUpdateForm(BaseModel):
|
||||
key: str
|
||||
|
||||
|
||||
@app.get("/key")
|
||||
async def get_openai_key(user=Depends(get_admin_user)):
|
||||
return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
|
||||
|
||||
|
||||
@app.post("/key/update")
|
||||
async def update_openai_key(
|
||||
form_data: OpenAIKeyUpdateForm, user=Depends(get_admin_user)
|
||||
):
|
||||
|
||||
if form_data.key == "":
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
|
||||
|
||||
app.state.OPENAI_API_KEY = form_data.key
|
||||
return {
|
||||
"OPENAI_API_KEY": app.state.OPENAI_API_KEY,
|
||||
"status": True,
|
||||
}
|
||||
|
||||
|
||||
class ImageSizeUpdateForm(BaseModel):
|
||||
size: str
|
||||
|
||||
@@ -132,9 +181,22 @@ async def update_image_size(
|
||||
@app.get("/models")
|
||||
def get_models(user=Depends(get_current_user)):
|
||||
try:
|
||||
r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/sd-models")
|
||||
models = r.json()
|
||||
return models
|
||||
if app.state.ENGINE == "openai":
|
||||
return [
|
||||
{"id": "dall-e-2", "name": "DALL·E 2"},
|
||||
{"id": "dall-e-3", "name": "DALL·E 3"},
|
||||
]
|
||||
else:
|
||||
r = requests.get(
|
||||
url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/sd-models"
|
||||
)
|
||||
models = r.json()
|
||||
return list(
|
||||
map(
|
||||
lambda model: {"id": model["title"], "name": model["model_name"]},
|
||||
models,
|
||||
)
|
||||
)
|
||||
except Exception as e:
|
||||
app.state.ENABLED = False
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
|
||||
@@ -143,10 +205,12 @@ def get_models(user=Depends(get_current_user)):
|
||||
@app.get("/models/default")
|
||||
async def get_default_model(user=Depends(get_admin_user)):
|
||||
try:
|
||||
r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
|
||||
options = r.json()
|
||||
|
||||
return {"model": options["sd_model_checkpoint"]}
|
||||
if app.state.ENGINE == "openai":
|
||||
return {"model": app.state.MODEL if app.state.MODEL else "dall-e-2"}
|
||||
else:
|
||||
r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
|
||||
options = r.json()
|
||||
return {"model": options["sd_model_checkpoint"]}
|
||||
except Exception as e:
|
||||
app.state.ENABLED = False
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
|
||||
@@ -157,16 +221,21 @@ class UpdateModelForm(BaseModel):
|
||||
|
||||
|
||||
def set_model_handler(model: str):
|
||||
r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
|
||||
options = r.json()
|
||||
|
||||
if model != options["sd_model_checkpoint"]:
|
||||
options["sd_model_checkpoint"] = model
|
||||
r = requests.post(
|
||||
url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options", json=options
|
||||
)
|
||||
if app.state.ENGINE == "openai":
|
||||
app.state.MODEL = model
|
||||
return app.state.MODEL
|
||||
else:
|
||||
r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
|
||||
options = r.json()
|
||||
|
||||
return options
|
||||
if model != options["sd_model_checkpoint"]:
|
||||
options["sd_model_checkpoint"] = model
|
||||
r = requests.post(
|
||||
url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options", json=options
|
||||
)
|
||||
|
||||
return options
|
||||
|
||||
|
||||
@app.post("/models/default/update")
|
||||
@@ -181,45 +250,116 @@ class GenerateImageForm(BaseModel):
|
||||
model: Optional[str] = None
|
||||
prompt: str
|
||||
n: int = 1
|
||||
size: str = "512x512"
|
||||
size: Optional[str] = None
|
||||
negative_prompt: Optional[str] = None
|
||||
|
||||
|
||||
def save_b64_image(b64_str):
|
||||
image_id = str(uuid.uuid4())
|
||||
file_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.png")
|
||||
|
||||
try:
|
||||
# Split the base64 string to get the actual image data
|
||||
img_data = base64.b64decode(b64_str)
|
||||
|
||||
# Write the image data to a file
|
||||
with open(file_path, "wb") as f:
|
||||
f.write(img_data)
|
||||
|
||||
return image_id
|
||||
except Exception as e:
|
||||
print(f"Error saving image: {e}")
|
||||
return None
|
||||
|
||||
|
||||
@app.post("/generations")
|
||||
def generate_image(
|
||||
form_data: GenerateImageForm,
|
||||
user=Depends(get_current_user),
|
||||
):
|
||||
|
||||
print(form_data)
|
||||
|
||||
r = None
|
||||
try:
|
||||
if form_data.model:
|
||||
set_model_handler(form_data.model)
|
||||
if app.state.ENGINE == "openai":
|
||||
|
||||
width, height = tuple(map(int, app.state.IMAGE_SIZE.split("x")))
|
||||
headers = {}
|
||||
headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
|
||||
headers["Content-Type"] = "application/json"
|
||||
|
||||
data = {
|
||||
"prompt": form_data.prompt,
|
||||
"batch_size": form_data.n,
|
||||
"width": width,
|
||||
"height": height,
|
||||
}
|
||||
data = {
|
||||
"model": app.state.MODEL if app.state.MODEL != "" else "dall-e-2",
|
||||
"prompt": form_data.prompt,
|
||||
"n": form_data.n,
|
||||
"size": form_data.size if form_data.size else app.state.IMAGE_SIZE,
|
||||
"response_format": "b64_json",
|
||||
}
|
||||
|
||||
if app.state.IMAGE_STEPS != None:
|
||||
data["steps"] = app.state.IMAGE_STEPS
|
||||
r = requests.post(
|
||||
url=f"https://api.openai.com/v1/images/generations",
|
||||
json=data,
|
||||
headers=headers,
|
||||
)
|
||||
|
||||
if form_data.negative_prompt != None:
|
||||
data["negative_prompt"] = form_data.negative_prompt
|
||||
r.raise_for_status()
|
||||
res = r.json()
|
||||
|
||||
print(data)
|
||||
images = []
|
||||
|
||||
r = requests.post(
|
||||
url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/txt2img",
|
||||
json=data,
|
||||
)
|
||||
for image in res["data"]:
|
||||
image_id = save_b64_image(image["b64_json"])
|
||||
images.append({"url": f"/cache/image/generations/{image_id}.png"})
|
||||
file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.json")
|
||||
|
||||
with open(file_body_path, "w") as f:
|
||||
json.dump(data, f)
|
||||
|
||||
return images
|
||||
|
||||
else:
|
||||
if form_data.model:
|
||||
set_model_handler(form_data.model)
|
||||
|
||||
width, height = tuple(map(int, app.state.IMAGE_SIZE.split("x")))
|
||||
|
||||
data = {
|
||||
"prompt": form_data.prompt,
|
||||
"batch_size": form_data.n,
|
||||
"width": width,
|
||||
"height": height,
|
||||
}
|
||||
|
||||
if app.state.IMAGE_STEPS != None:
|
||||
data["steps"] = app.state.IMAGE_STEPS
|
||||
|
||||
if form_data.negative_prompt != None:
|
||||
data["negative_prompt"] = form_data.negative_prompt
|
||||
|
||||
r = requests.post(
|
||||
url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/txt2img",
|
||||
json=data,
|
||||
)
|
||||
|
||||
res = r.json()
|
||||
|
||||
print(res)
|
||||
|
||||
images = []
|
||||
|
||||
for image in res["images"]:
|
||||
image_id = save_b64_image(image)
|
||||
images.append({"url": f"/cache/image/generations/{image_id}.png"})
|
||||
file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.json")
|
||||
|
||||
with open(file_body_path, "w") as f:
|
||||
json.dump({**data, "info": res["info"]}, f)
|
||||
|
||||
return images
|
||||
|
||||
return r.json()
|
||||
except Exception as e:
|
||||
print(e)
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
|
||||
error = e
|
||||
|
||||
if r != None:
|
||||
data = r.json()
|
||||
if "error" in data:
|
||||
error = data["error"]["message"]
|
||||
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(error))
|
||||
|
||||
@@ -0,0 +1,41 @@
|
||||
from litellm.proxy.proxy_server import ProxyConfig, initialize
|
||||
from litellm.proxy.proxy_server import app
|
||||
|
||||
from fastapi import FastAPI, Request, Depends, status
|
||||
from fastapi.responses import JSONResponse
|
||||
from utils.utils import get_http_authorization_cred, get_current_user
|
||||
from config import ENV
|
||||
|
||||
proxy_config = ProxyConfig()
|
||||
|
||||
|
||||
async def config():
|
||||
router, model_list, general_settings = await proxy_config.load_config(
|
||||
router=None, config_file_path="./data/litellm/config.yaml"
|
||||
)
|
||||
|
||||
await initialize(config="./data/litellm/config.yaml", telemetry=False)
|
||||
|
||||
|
||||
async def startup():
|
||||
await config()
|
||||
|
||||
|
||||
@app.on_event("startup")
|
||||
async def on_startup():
|
||||
await startup()
|
||||
|
||||
|
||||
@app.middleware("http")
|
||||
async def auth_middleware(request: Request, call_next):
|
||||
auth_header = request.headers.get("Authorization", "")
|
||||
|
||||
if ENV != "dev":
|
||||
try:
|
||||
user = get_current_user(get_http_authorization_cred(auth_header))
|
||||
print(user)
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=400, content={"detail": str(e)})
|
||||
|
||||
response = await call_next(request)
|
||||
return response
|
||||
+856
-13
@@ -3,15 +3,22 @@ from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import StreamingResponse
|
||||
from fastapi.concurrency import run_in_threadpool
|
||||
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
|
||||
import random
|
||||
import requests
|
||||
import json
|
||||
import uuid
|
||||
from pydantic import BaseModel
|
||||
import aiohttp
|
||||
import asyncio
|
||||
|
||||
from apps.web.models.users import Users
|
||||
from constants import ERROR_MESSAGES
|
||||
from utils.utils import decode_token, get_current_user, get_admin_user
|
||||
from config import OLLAMA_BASE_URL, WEBUI_AUTH
|
||||
from config import OLLAMA_BASE_URLS, MODEL_FILTER_ENABLED, MODEL_FILTER_LIST
|
||||
|
||||
from typing import Optional, List, Union
|
||||
|
||||
|
||||
app = FastAPI()
|
||||
app.add_middleware(
|
||||
@@ -22,27 +29,48 @@ app.add_middleware(
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.state.OLLAMA_BASE_URL = OLLAMA_BASE_URL
|
||||
|
||||
# TARGET_SERVER_URL = OLLAMA_API_BASE_URL
|
||||
app.state.MODEL_FILTER_ENABLED = MODEL_FILTER_ENABLED
|
||||
app.state.MODEL_FILTER_LIST = MODEL_FILTER_LIST
|
||||
|
||||
app.state.OLLAMA_BASE_URLS = OLLAMA_BASE_URLS
|
||||
app.state.MODELS = {}
|
||||
|
||||
|
||||
REQUEST_POOL = []
|
||||
|
||||
|
||||
@app.get("/url")
|
||||
async def get_ollama_api_url(user=Depends(get_admin_user)):
|
||||
return {"OLLAMA_BASE_URL": app.state.OLLAMA_BASE_URL}
|
||||
# TODO: Implement a more intelligent load balancing mechanism for distributing requests among multiple backend instances.
|
||||
# Current implementation uses a simple round-robin approach (random.choice). Consider incorporating algorithms like weighted round-robin,
|
||||
# least connections, or least response time for better resource utilization and performance optimization.
|
||||
|
||||
|
||||
@app.middleware("http")
|
||||
async def check_url(request: Request, call_next):
|
||||
if len(app.state.MODELS) == 0:
|
||||
await get_all_models()
|
||||
else:
|
||||
pass
|
||||
|
||||
response = await call_next(request)
|
||||
return response
|
||||
|
||||
|
||||
@app.get("/urls")
|
||||
async def get_ollama_api_urls(user=Depends(get_admin_user)):
|
||||
return {"OLLAMA_BASE_URLS": app.state.OLLAMA_BASE_URLS}
|
||||
|
||||
|
||||
class UrlUpdateForm(BaseModel):
|
||||
url: str
|
||||
urls: List[str]
|
||||
|
||||
|
||||
@app.post("/url/update")
|
||||
@app.post("/urls/update")
|
||||
async def update_ollama_api_url(form_data: UrlUpdateForm, user=Depends(get_admin_user)):
|
||||
app.state.OLLAMA_BASE_URL = form_data.url
|
||||
return {"OLLAMA_BASE_URL": app.state.OLLAMA_BASE_URL}
|
||||
app.state.OLLAMA_BASE_URLS = form_data.urls
|
||||
|
||||
print(app.state.OLLAMA_BASE_URLS)
|
||||
return {"OLLAMA_BASE_URLS": app.state.OLLAMA_BASE_URLS}
|
||||
|
||||
|
||||
@app.get("/cancel/{request_id}")
|
||||
@@ -55,9 +83,824 @@ async def cancel_ollama_request(request_id: str, user=Depends(get_current_user))
|
||||
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED)
|
||||
|
||||
|
||||
async def fetch_url(url):
|
||||
try:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(url) as response:
|
||||
return await response.json()
|
||||
except Exception as e:
|
||||
# Handle connection error here
|
||||
print(f"Connection error: {e}")
|
||||
return None
|
||||
|
||||
|
||||
def merge_models_lists(model_lists):
|
||||
merged_models = {}
|
||||
|
||||
for idx, model_list in enumerate(model_lists):
|
||||
for model in model_list:
|
||||
digest = model["digest"]
|
||||
if digest not in merged_models:
|
||||
model["urls"] = [idx]
|
||||
merged_models[digest] = model
|
||||
else:
|
||||
merged_models[digest]["urls"].append(idx)
|
||||
|
||||
return list(merged_models.values())
|
||||
|
||||
|
||||
# user=Depends(get_current_user)
|
||||
|
||||
|
||||
async def get_all_models():
|
||||
print("get_all_models")
|
||||
tasks = [fetch_url(f"{url}/api/tags") for url in app.state.OLLAMA_BASE_URLS]
|
||||
responses = await asyncio.gather(*tasks)
|
||||
responses = list(filter(lambda x: x is not None, responses))
|
||||
|
||||
models = {
|
||||
"models": merge_models_lists(
|
||||
map(lambda response: response["models"], responses)
|
||||
)
|
||||
}
|
||||
|
||||
app.state.MODELS = {model["model"]: model for model in models["models"]}
|
||||
|
||||
return models
|
||||
|
||||
|
||||
@app.get("/api/tags")
|
||||
@app.get("/api/tags/{url_idx}")
|
||||
async def get_ollama_tags(
|
||||
url_idx: Optional[int] = None, user=Depends(get_current_user)
|
||||
):
|
||||
if url_idx == None:
|
||||
models = await get_all_models()
|
||||
|
||||
if app.state.MODEL_FILTER_ENABLED:
|
||||
if user.role == "user":
|
||||
models["models"] = list(
|
||||
filter(
|
||||
lambda model: model["name"] in app.state.MODEL_FILTER_LIST,
|
||||
models["models"],
|
||||
)
|
||||
)
|
||||
return models
|
||||
return models
|
||||
else:
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
try:
|
||||
r = requests.request(method="GET", url=f"{url}/api/tags")
|
||||
r.raise_for_status()
|
||||
|
||||
return r.json()
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
@app.get("/api/version")
|
||||
@app.get("/api/version/{url_idx}")
|
||||
async def get_ollama_versions(url_idx: Optional[int] = None):
|
||||
|
||||
if url_idx == None:
|
||||
|
||||
# returns lowest version
|
||||
tasks = [fetch_url(f"{url}/api/version") for url in app.state.OLLAMA_BASE_URLS]
|
||||
responses = await asyncio.gather(*tasks)
|
||||
responses = list(filter(lambda x: x is not None, responses))
|
||||
|
||||
if len(responses) > 0:
|
||||
lowest_version = min(
|
||||
responses, key=lambda x: tuple(map(int, x["version"].split(".")))
|
||||
)
|
||||
|
||||
return {"version": lowest_version["version"]}
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=500,
|
||||
detail=ERROR_MESSAGES.OLLAMA_NOT_FOUND,
|
||||
)
|
||||
else:
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
try:
|
||||
r = requests.request(method="GET", url=f"{url}/api/version")
|
||||
r.raise_for_status()
|
||||
|
||||
return r.json()
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
class ModelNameForm(BaseModel):
|
||||
name: str
|
||||
|
||||
|
||||
@app.post("/api/pull")
|
||||
@app.post("/api/pull/{url_idx}")
|
||||
async def pull_model(
|
||||
form_data: ModelNameForm, url_idx: int = 0, user=Depends(get_admin_user)
|
||||
):
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
print(url)
|
||||
|
||||
r = None
|
||||
|
||||
def get_request():
|
||||
nonlocal url
|
||||
nonlocal r
|
||||
try:
|
||||
|
||||
def stream_content():
|
||||
for chunk in r.iter_content(chunk_size=8192):
|
||||
yield chunk
|
||||
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/pull",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
stream=True,
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
|
||||
return StreamingResponse(
|
||||
stream_content(),
|
||||
status_code=r.status_code,
|
||||
headers=dict(r.headers),
|
||||
)
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
try:
|
||||
return await run_in_threadpool(get_request)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
class PushModelForm(BaseModel):
|
||||
name: str
|
||||
insecure: Optional[bool] = None
|
||||
stream: Optional[bool] = None
|
||||
|
||||
|
||||
@app.delete("/api/push")
|
||||
@app.delete("/api/push/{url_idx}")
|
||||
async def push_model(
|
||||
form_data: PushModelForm,
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
if url_idx == None:
|
||||
if form_data.name in app.state.MODELS:
|
||||
url_idx = app.state.MODELS[form_data.name]["urls"][0]
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
|
||||
)
|
||||
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
print(url)
|
||||
|
||||
r = None
|
||||
|
||||
def get_request():
|
||||
nonlocal url
|
||||
nonlocal r
|
||||
try:
|
||||
|
||||
def stream_content():
|
||||
for chunk in r.iter_content(chunk_size=8192):
|
||||
yield chunk
|
||||
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/push",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
|
||||
return StreamingResponse(
|
||||
stream_content(),
|
||||
status_code=r.status_code,
|
||||
headers=dict(r.headers),
|
||||
)
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
try:
|
||||
return await run_in_threadpool(get_request)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
class CreateModelForm(BaseModel):
|
||||
name: str
|
||||
modelfile: Optional[str] = None
|
||||
stream: Optional[bool] = None
|
||||
path: Optional[str] = None
|
||||
|
||||
|
||||
@app.post("/api/create")
|
||||
@app.post("/api/create/{url_idx}")
|
||||
async def create_model(
|
||||
form_data: CreateModelForm, url_idx: int = 0, user=Depends(get_admin_user)
|
||||
):
|
||||
print(form_data)
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
print(url)
|
||||
|
||||
r = None
|
||||
|
||||
def get_request():
|
||||
nonlocal url
|
||||
nonlocal r
|
||||
try:
|
||||
|
||||
def stream_content():
|
||||
for chunk in r.iter_content(chunk_size=8192):
|
||||
yield chunk
|
||||
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/create",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
stream=True,
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
|
||||
print(r)
|
||||
|
||||
return StreamingResponse(
|
||||
stream_content(),
|
||||
status_code=r.status_code,
|
||||
headers=dict(r.headers),
|
||||
)
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
try:
|
||||
return await run_in_threadpool(get_request)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
class CopyModelForm(BaseModel):
|
||||
source: str
|
||||
destination: str
|
||||
|
||||
|
||||
@app.post("/api/copy")
|
||||
@app.post("/api/copy/{url_idx}")
|
||||
async def copy_model(
|
||||
form_data: CopyModelForm,
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
if url_idx == None:
|
||||
if form_data.source in app.state.MODELS:
|
||||
url_idx = app.state.MODELS[form_data.source]["urls"][0]
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.source),
|
||||
)
|
||||
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
print(url)
|
||||
|
||||
try:
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/copy",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
r.raise_for_status()
|
||||
|
||||
print(r.text)
|
||||
|
||||
return True
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
@app.delete("/api/delete")
|
||||
@app.delete("/api/delete/{url_idx}")
|
||||
async def delete_model(
|
||||
form_data: ModelNameForm,
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_admin_user),
|
||||
):
|
||||
if url_idx == None:
|
||||
if form_data.name in app.state.MODELS:
|
||||
url_idx = app.state.MODELS[form_data.name]["urls"][0]
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
|
||||
)
|
||||
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
print(url)
|
||||
|
||||
try:
|
||||
r = requests.request(
|
||||
method="DELETE",
|
||||
url=f"{url}/api/delete",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
r.raise_for_status()
|
||||
|
||||
print(r.text)
|
||||
|
||||
return True
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
@app.post("/api/show")
|
||||
async def show_model_info(form_data: ModelNameForm, user=Depends(get_current_user)):
|
||||
if form_data.name not in app.state.MODELS:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
|
||||
)
|
||||
|
||||
url_idx = random.choice(app.state.MODELS[form_data.name]["urls"])
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
print(url)
|
||||
|
||||
try:
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/show",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
r.raise_for_status()
|
||||
|
||||
return r.json()
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
class GenerateEmbeddingsForm(BaseModel):
|
||||
model: str
|
||||
prompt: str
|
||||
options: Optional[dict] = None
|
||||
keep_alive: Optional[Union[int, str]] = None
|
||||
|
||||
|
||||
@app.post("/api/embeddings")
|
||||
@app.post("/api/embeddings/{url_idx}")
|
||||
async def generate_embeddings(
|
||||
form_data: GenerateEmbeddingsForm,
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_current_user),
|
||||
):
|
||||
if url_idx == None:
|
||||
if form_data.model in app.state.MODELS:
|
||||
url_idx = random.choice(app.state.MODELS[form_data.model]["urls"])
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
|
||||
)
|
||||
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
print(url)
|
||||
|
||||
try:
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/embeddings",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
)
|
||||
r.raise_for_status()
|
||||
|
||||
return r.json()
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
class GenerateCompletionForm(BaseModel):
|
||||
model: str
|
||||
prompt: str
|
||||
images: Optional[List[str]] = None
|
||||
format: Optional[str] = None
|
||||
options: Optional[dict] = None
|
||||
system: Optional[str] = None
|
||||
template: Optional[str] = None
|
||||
context: Optional[str] = None
|
||||
stream: Optional[bool] = True
|
||||
raw: Optional[bool] = None
|
||||
keep_alive: Optional[Union[int, str]] = None
|
||||
|
||||
|
||||
@app.post("/api/generate")
|
||||
@app.post("/api/generate/{url_idx}")
|
||||
async def generate_completion(
|
||||
form_data: GenerateCompletionForm,
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_current_user),
|
||||
):
|
||||
|
||||
if url_idx == None:
|
||||
if form_data.model in app.state.MODELS:
|
||||
url_idx = random.choice(app.state.MODELS[form_data.model]["urls"])
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail="error_detail",
|
||||
)
|
||||
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
print(url)
|
||||
|
||||
r = None
|
||||
|
||||
def get_request():
|
||||
nonlocal form_data
|
||||
nonlocal r
|
||||
|
||||
request_id = str(uuid.uuid4())
|
||||
try:
|
||||
REQUEST_POOL.append(request_id)
|
||||
|
||||
def stream_content():
|
||||
try:
|
||||
if form_data.stream:
|
||||
yield json.dumps({"id": request_id, "done": False}) + "\n"
|
||||
|
||||
for chunk in r.iter_content(chunk_size=8192):
|
||||
if request_id in REQUEST_POOL:
|
||||
yield chunk
|
||||
else:
|
||||
print("User: canceled request")
|
||||
break
|
||||
finally:
|
||||
if hasattr(r, "close"):
|
||||
r.close()
|
||||
if request_id in REQUEST_POOL:
|
||||
REQUEST_POOL.remove(request_id)
|
||||
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/generate",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
stream=True,
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
|
||||
return StreamingResponse(
|
||||
stream_content(),
|
||||
status_code=r.status_code,
|
||||
headers=dict(r.headers),
|
||||
)
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
try:
|
||||
return await run_in_threadpool(get_request)
|
||||
except Exception as e:
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
class ChatMessage(BaseModel):
|
||||
role: str
|
||||
content: str
|
||||
images: Optional[List[str]] = None
|
||||
|
||||
|
||||
class GenerateChatCompletionForm(BaseModel):
|
||||
model: str
|
||||
messages: List[ChatMessage]
|
||||
format: Optional[str] = None
|
||||
options: Optional[dict] = None
|
||||
template: Optional[str] = None
|
||||
stream: Optional[bool] = True
|
||||
keep_alive: Optional[Union[int, str]] = None
|
||||
|
||||
|
||||
@app.post("/api/chat")
|
||||
@app.post("/api/chat/{url_idx}")
|
||||
async def generate_chat_completion(
|
||||
form_data: GenerateChatCompletionForm,
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_current_user),
|
||||
):
|
||||
|
||||
if url_idx == None:
|
||||
if form_data.model in app.state.MODELS:
|
||||
url_idx = random.choice(app.state.MODELS[form_data.model]["urls"])
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
|
||||
)
|
||||
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
print(url)
|
||||
|
||||
r = None
|
||||
|
||||
print(form_data.model_dump_json(exclude_none=True).encode())
|
||||
|
||||
def get_request():
|
||||
nonlocal form_data
|
||||
nonlocal r
|
||||
|
||||
request_id = str(uuid.uuid4())
|
||||
try:
|
||||
REQUEST_POOL.append(request_id)
|
||||
|
||||
def stream_content():
|
||||
try:
|
||||
if form_data.stream:
|
||||
yield json.dumps({"id": request_id, "done": False}) + "\n"
|
||||
|
||||
for chunk in r.iter_content(chunk_size=8192):
|
||||
if request_id in REQUEST_POOL:
|
||||
yield chunk
|
||||
else:
|
||||
print("User: canceled request")
|
||||
break
|
||||
finally:
|
||||
if hasattr(r, "close"):
|
||||
r.close()
|
||||
if request_id in REQUEST_POOL:
|
||||
REQUEST_POOL.remove(request_id)
|
||||
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/api/chat",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
stream=True,
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
|
||||
return StreamingResponse(
|
||||
stream_content(),
|
||||
status_code=r.status_code,
|
||||
headers=dict(r.headers),
|
||||
)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
raise e
|
||||
|
||||
try:
|
||||
return await run_in_threadpool(get_request)
|
||||
except Exception as e:
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
# TODO: we should update this part once Ollama supports other types
|
||||
class OpenAIChatMessage(BaseModel):
|
||||
role: str
|
||||
content: str
|
||||
|
||||
model_config = ConfigDict(extra="allow")
|
||||
|
||||
|
||||
class OpenAIChatCompletionForm(BaseModel):
|
||||
model: str
|
||||
messages: List[OpenAIChatMessage]
|
||||
|
||||
model_config = ConfigDict(extra="allow")
|
||||
|
||||
|
||||
@app.post("/v1/chat/completions")
|
||||
@app.post("/v1/chat/completions/{url_idx}")
|
||||
async def generate_openai_chat_completion(
|
||||
form_data: OpenAIChatCompletionForm,
|
||||
url_idx: Optional[int] = None,
|
||||
user=Depends(get_current_user),
|
||||
):
|
||||
|
||||
if url_idx == None:
|
||||
if form_data.model in app.state.MODELS:
|
||||
url_idx = random.choice(app.state.MODELS[form_data.model]["urls"])
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
|
||||
)
|
||||
|
||||
url = app.state.OLLAMA_BASE_URLS[url_idx]
|
||||
print(url)
|
||||
|
||||
r = None
|
||||
|
||||
def get_request():
|
||||
nonlocal form_data
|
||||
nonlocal r
|
||||
|
||||
request_id = str(uuid.uuid4())
|
||||
try:
|
||||
REQUEST_POOL.append(request_id)
|
||||
|
||||
def stream_content():
|
||||
try:
|
||||
if form_data.stream:
|
||||
yield json.dumps(
|
||||
{"request_id": request_id, "done": False}
|
||||
) + "\n"
|
||||
|
||||
for chunk in r.iter_content(chunk_size=8192):
|
||||
if request_id in REQUEST_POOL:
|
||||
yield chunk
|
||||
else:
|
||||
print("User: canceled request")
|
||||
break
|
||||
finally:
|
||||
if hasattr(r, "close"):
|
||||
r.close()
|
||||
if request_id in REQUEST_POOL:
|
||||
REQUEST_POOL.remove(request_id)
|
||||
|
||||
r = requests.request(
|
||||
method="POST",
|
||||
url=f"{url}/v1/chat/completions",
|
||||
data=form_data.model_dump_json(exclude_none=True).encode(),
|
||||
stream=True,
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
|
||||
return StreamingResponse(
|
||||
stream_content(),
|
||||
status_code=r.status_code,
|
||||
headers=dict(r.headers),
|
||||
)
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
try:
|
||||
return await run_in_threadpool(get_request)
|
||||
except Exception as e:
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
|
||||
async def proxy(path: str, request: Request, user=Depends(get_current_user)):
|
||||
target_url = f"{app.state.OLLAMA_BASE_URL}/{path}"
|
||||
async def deprecated_proxy(path: str, request: Request, user=Depends(get_current_user)):
|
||||
url = app.state.OLLAMA_BASE_URLS[0]
|
||||
target_url = f"{url}/{path}"
|
||||
|
||||
body = await request.body()
|
||||
headers = dict(request.headers)
|
||||
|
||||
@@ -1,127 +0,0 @@
|
||||
from fastapi import FastAPI, Request, Response, HTTPException, Depends
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import StreamingResponse
|
||||
|
||||
import requests
|
||||
import json
|
||||
from pydantic import BaseModel
|
||||
|
||||
from apps.web.models.users import Users
|
||||
from constants import ERROR_MESSAGES
|
||||
from utils.utils import decode_token, get_current_user
|
||||
from config import OLLAMA_API_BASE_URL, WEBUI_AUTH
|
||||
|
||||
import aiohttp
|
||||
|
||||
app = FastAPI()
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.state.OLLAMA_API_BASE_URL = OLLAMA_API_BASE_URL
|
||||
|
||||
# TARGET_SERVER_URL = OLLAMA_API_BASE_URL
|
||||
|
||||
|
||||
@app.get("/url")
|
||||
async def get_ollama_api_url(user=Depends(get_current_user)):
|
||||
if user and user.role == "admin":
|
||||
return {"OLLAMA_API_BASE_URL": app.state.OLLAMA_API_BASE_URL}
|
||||
else:
|
||||
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED)
|
||||
|
||||
|
||||
class UrlUpdateForm(BaseModel):
|
||||
url: str
|
||||
|
||||
|
||||
@app.post("/url/update")
|
||||
async def update_ollama_api_url(
|
||||
form_data: UrlUpdateForm, user=Depends(get_current_user)
|
||||
):
|
||||
if user and user.role == "admin":
|
||||
app.state.OLLAMA_API_BASE_URL = form_data.url
|
||||
return {"OLLAMA_API_BASE_URL": app.state.OLLAMA_API_BASE_URL}
|
||||
else:
|
||||
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED)
|
||||
|
||||
|
||||
# async def fetch_sse(method, target_url, body, headers):
|
||||
# async with aiohttp.ClientSession() as session:
|
||||
# try:
|
||||
# async with session.request(
|
||||
# method, target_url, data=body, headers=headers
|
||||
# ) as response:
|
||||
# print(response.status)
|
||||
# async for line in response.content:
|
||||
# yield line
|
||||
# except Exception as e:
|
||||
# print(e)
|
||||
# error_detail = "Open WebUI: Server Connection Error"
|
||||
# yield json.dumps({"error": error_detail, "message": str(e)}).encode()
|
||||
|
||||
|
||||
@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
|
||||
async def proxy(path: str, request: Request, user=Depends(get_current_user)):
|
||||
target_url = f"{app.state.OLLAMA_API_BASE_URL}/{path}"
|
||||
print(target_url)
|
||||
|
||||
body = await request.body()
|
||||
headers = dict(request.headers)
|
||||
|
||||
if user.role in ["user", "admin"]:
|
||||
if path in ["pull", "delete", "push", "copy", "create"]:
|
||||
if user.role != "admin":
|
||||
raise HTTPException(
|
||||
status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED
|
||||
)
|
||||
else:
|
||||
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED)
|
||||
|
||||
headers.pop("Host", None)
|
||||
headers.pop("Authorization", None)
|
||||
headers.pop("Origin", None)
|
||||
headers.pop("Referer", None)
|
||||
|
||||
session = aiohttp.ClientSession()
|
||||
response = None
|
||||
try:
|
||||
response = await session.request(
|
||||
request.method, target_url, data=body, headers=headers
|
||||
)
|
||||
|
||||
print(response)
|
||||
if not response.ok:
|
||||
data = await response.json()
|
||||
print(data)
|
||||
response.raise_for_status()
|
||||
|
||||
async def generate():
|
||||
async for line in response.content:
|
||||
print(line)
|
||||
yield line
|
||||
await session.close()
|
||||
|
||||
return StreamingResponse(generate(), response.status)
|
||||
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
|
||||
if response is not None:
|
||||
try:
|
||||
res = await response.json()
|
||||
if "error" in res:
|
||||
error_detail = f"Ollama: {res['error']}"
|
||||
except:
|
||||
error_detail = f"Ollama: {e}"
|
||||
|
||||
await session.close()
|
||||
raise HTTPException(
|
||||
status_code=response.status if response else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
+204
-90
@@ -3,7 +3,10 @@ from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
|
||||
|
||||
import requests
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import json
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
@@ -15,7 +18,15 @@ from utils.utils import (
|
||||
get_verified_user,
|
||||
get_admin_user,
|
||||
)
|
||||
from config import OPENAI_API_BASE_URL, OPENAI_API_KEY, CACHE_DIR
|
||||
from config import (
|
||||
OPENAI_API_BASE_URLS,
|
||||
OPENAI_API_KEYS,
|
||||
CACHE_DIR,
|
||||
MODEL_FILTER_ENABLED,
|
||||
MODEL_FILTER_LIST,
|
||||
)
|
||||
from typing import List, Optional
|
||||
|
||||
|
||||
import hashlib
|
||||
from pathlib import Path
|
||||
@@ -29,116 +40,225 @@ app.add_middleware(
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.state.OPENAI_API_BASE_URL = OPENAI_API_BASE_URL
|
||||
app.state.OPENAI_API_KEY = OPENAI_API_KEY
|
||||
app.state.MODEL_FILTER_ENABLED = MODEL_FILTER_ENABLED
|
||||
app.state.MODEL_FILTER_LIST = MODEL_FILTER_LIST
|
||||
|
||||
app.state.OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS
|
||||
app.state.OPENAI_API_KEYS = OPENAI_API_KEYS
|
||||
|
||||
app.state.MODELS = {}
|
||||
|
||||
|
||||
class UrlUpdateForm(BaseModel):
|
||||
url: str
|
||||
@app.middleware("http")
|
||||
async def check_url(request: Request, call_next):
|
||||
if len(app.state.MODELS) == 0:
|
||||
await get_all_models()
|
||||
else:
|
||||
pass
|
||||
|
||||
response = await call_next(request)
|
||||
return response
|
||||
|
||||
|
||||
class KeyUpdateForm(BaseModel):
|
||||
key: str
|
||||
class UrlsUpdateForm(BaseModel):
|
||||
urls: List[str]
|
||||
|
||||
|
||||
@app.get("/url")
|
||||
async def get_openai_url(user=Depends(get_admin_user)):
|
||||
return {"OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL}
|
||||
class KeysUpdateForm(BaseModel):
|
||||
keys: List[str]
|
||||
|
||||
|
||||
@app.post("/url/update")
|
||||
async def update_openai_url(form_data: UrlUpdateForm, user=Depends(get_admin_user)):
|
||||
app.state.OPENAI_API_BASE_URL = form_data.url
|
||||
return {"OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL}
|
||||
@app.get("/urls")
|
||||
async def get_openai_urls(user=Depends(get_admin_user)):
|
||||
return {"OPENAI_API_BASE_URLS": app.state.OPENAI_API_BASE_URLS}
|
||||
|
||||
|
||||
@app.get("/key")
|
||||
async def get_openai_key(user=Depends(get_admin_user)):
|
||||
return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
|
||||
@app.post("/urls/update")
|
||||
async def update_openai_urls(form_data: UrlsUpdateForm, user=Depends(get_admin_user)):
|
||||
app.state.OPENAI_API_BASE_URLS = form_data.urls
|
||||
return {"OPENAI_API_BASE_URLS": app.state.OPENAI_API_BASE_URLS}
|
||||
|
||||
|
||||
@app.post("/key/update")
|
||||
async def update_openai_key(form_data: KeyUpdateForm, user=Depends(get_admin_user)):
|
||||
app.state.OPENAI_API_KEY = form_data.key
|
||||
return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
|
||||
@app.get("/keys")
|
||||
async def get_openai_keys(user=Depends(get_admin_user)):
|
||||
return {"OPENAI_API_KEYS": app.state.OPENAI_API_KEYS}
|
||||
|
||||
|
||||
@app.post("/keys/update")
|
||||
async def update_openai_key(form_data: KeysUpdateForm, user=Depends(get_admin_user)):
|
||||
app.state.OPENAI_API_KEYS = form_data.keys
|
||||
return {"OPENAI_API_KEYS": app.state.OPENAI_API_KEYS}
|
||||
|
||||
|
||||
@app.post("/audio/speech")
|
||||
async def speech(request: Request, user=Depends(get_verified_user)):
|
||||
target_url = f"{app.state.OPENAI_API_BASE_URL}/audio/speech"
|
||||
|
||||
if app.state.OPENAI_API_KEY == "":
|
||||
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
|
||||
|
||||
body = await request.body()
|
||||
|
||||
name = hashlib.sha256(body).hexdigest()
|
||||
|
||||
SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
|
||||
SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
|
||||
file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
|
||||
file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
|
||||
|
||||
# Check if the file already exists in the cache
|
||||
if file_path.is_file():
|
||||
return FileResponse(file_path)
|
||||
|
||||
headers = {}
|
||||
headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
|
||||
headers["Content-Type"] = "application/json"
|
||||
|
||||
idx = None
|
||||
try:
|
||||
print("openai")
|
||||
r = requests.post(
|
||||
url=target_url,
|
||||
data=body,
|
||||
headers=headers,
|
||||
stream=True,
|
||||
idx = app.state.OPENAI_API_BASE_URLS.index("https://api.openai.com/v1")
|
||||
body = await request.body()
|
||||
name = hashlib.sha256(body).hexdigest()
|
||||
|
||||
SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
|
||||
SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
|
||||
file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
|
||||
file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
|
||||
|
||||
# Check if the file already exists in the cache
|
||||
if file_path.is_file():
|
||||
return FileResponse(file_path)
|
||||
|
||||
headers = {}
|
||||
headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEYS[idx]}"
|
||||
headers["Content-Type"] = "application/json"
|
||||
|
||||
try:
|
||||
r = requests.post(
|
||||
url=f"{app.state.OPENAI_API_BASE_URLS[idx]}/audio/speech",
|
||||
data=body,
|
||||
headers=headers,
|
||||
stream=True,
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
|
||||
# Save the streaming content to a file
|
||||
with open(file_path, "wb") as f:
|
||||
for chunk in r.iter_content(chunk_size=8192):
|
||||
f.write(chunk)
|
||||
|
||||
with open(file_body_path, "w") as f:
|
||||
json.dump(json.loads(body.decode("utf-8")), f)
|
||||
|
||||
# Return the saved file
|
||||
return FileResponse(file_path)
|
||||
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"External: {res['error']}"
|
||||
except:
|
||||
error_detail = f"External: {e}"
|
||||
|
||||
raise HTTPException(status_code=r.status_code, detail=error_detail)
|
||||
|
||||
except ValueError:
|
||||
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.OPENAI_NOT_FOUND)
|
||||
|
||||
|
||||
async def fetch_url(url, key):
|
||||
try:
|
||||
headers = {"Authorization": f"Bearer {key}"}
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(url, headers=headers) as response:
|
||||
return await response.json()
|
||||
except Exception as e:
|
||||
# Handle connection error here
|
||||
print(f"Connection error: {e}")
|
||||
return None
|
||||
|
||||
|
||||
def merge_models_lists(model_lists):
|
||||
merged_list = []
|
||||
|
||||
for idx, models in enumerate(model_lists):
|
||||
merged_list.extend(
|
||||
[
|
||||
{**model, "urlIdx": idx}
|
||||
for model in models
|
||||
if "api.openai.com" not in app.state.OPENAI_API_BASE_URLS[idx]
|
||||
or "gpt" in model["id"]
|
||||
]
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
return merged_list
|
||||
|
||||
# Save the streaming content to a file
|
||||
with open(file_path, "wb") as f:
|
||||
for chunk in r.iter_content(chunk_size=8192):
|
||||
f.write(chunk)
|
||||
|
||||
with open(file_body_path, "w") as f:
|
||||
json.dump(json.loads(body.decode("utf-8")), f)
|
||||
async def get_all_models():
|
||||
print("get_all_models")
|
||||
|
||||
# Return the saved file
|
||||
return FileResponse(file_path)
|
||||
if len(app.state.OPENAI_API_KEYS) == 1 and app.state.OPENAI_API_KEYS[0] == "":
|
||||
models = {"data": []}
|
||||
else:
|
||||
tasks = [
|
||||
fetch_url(f"{url}/models", app.state.OPENAI_API_KEYS[idx])
|
||||
for idx, url in enumerate(app.state.OPENAI_API_BASE_URLS)
|
||||
]
|
||||
responses = await asyncio.gather(*tasks)
|
||||
responses = list(
|
||||
filter(lambda x: x is not None and "error" not in x, responses)
|
||||
)
|
||||
models = {
|
||||
"data": merge_models_lists(
|
||||
list(map(lambda response: response["data"], responses))
|
||||
)
|
||||
}
|
||||
app.state.MODELS = {model["id"]: model for model in models["data"]}
|
||||
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"External: {res['error']}"
|
||||
except:
|
||||
error_detail = f"External: {e}"
|
||||
return models
|
||||
|
||||
raise HTTPException(status_code=r.status_code, detail=error_detail)
|
||||
|
||||
@app.get("/models")
|
||||
@app.get("/models/{url_idx}")
|
||||
async def get_models(url_idx: Optional[int] = None, user=Depends(get_current_user)):
|
||||
if url_idx == None:
|
||||
models = await get_all_models()
|
||||
if app.state.MODEL_FILTER_ENABLED:
|
||||
if user.role == "user":
|
||||
models["data"] = list(
|
||||
filter(
|
||||
lambda model: model["id"] in app.state.MODEL_FILTER_LIST,
|
||||
models["data"],
|
||||
)
|
||||
)
|
||||
return models
|
||||
return models
|
||||
else:
|
||||
url = app.state.OPENAI_API_BASE_URLS[url_idx]
|
||||
try:
|
||||
r = requests.request(method="GET", url=f"{url}/models")
|
||||
r.raise_for_status()
|
||||
|
||||
response_data = r.json()
|
||||
if "api.openai.com" in url:
|
||||
response_data["data"] = list(
|
||||
filter(lambda model: "gpt" in model["id"], response_data["data"])
|
||||
)
|
||||
|
||||
return response_data
|
||||
except Exception as e:
|
||||
print(e)
|
||||
error_detail = "Open WebUI: Server Connection Error"
|
||||
if r is not None:
|
||||
try:
|
||||
res = r.json()
|
||||
if "error" in res:
|
||||
error_detail = f"External: {res['error']}"
|
||||
except:
|
||||
error_detail = f"External: {e}"
|
||||
|
||||
raise HTTPException(
|
||||
status_code=r.status_code if r else 500,
|
||||
detail=error_detail,
|
||||
)
|
||||
|
||||
|
||||
@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
|
||||
async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
|
||||
target_url = f"{app.state.OPENAI_API_BASE_URL}/{path}"
|
||||
print(target_url, app.state.OPENAI_API_KEY)
|
||||
|
||||
if app.state.OPENAI_API_KEY == "":
|
||||
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
|
||||
idx = 0
|
||||
|
||||
body = await request.body()
|
||||
|
||||
# TODO: Remove below after gpt-4-vision fix from Open AI
|
||||
# Try to decode the body of the request from bytes to a UTF-8 string (Require add max_token to fix gpt-4-vision)
|
||||
try:
|
||||
body = body.decode("utf-8")
|
||||
body = json.loads(body)
|
||||
|
||||
idx = app.state.MODELS[body.get("model")]["urlIdx"]
|
||||
|
||||
# Check if the model is "gpt-4-vision-preview" and set "max_tokens" to 4000
|
||||
# This is a workaround until OpenAI fixes the issue with this model
|
||||
if body.get("model") == "gpt-4-vision-preview":
|
||||
@@ -158,8 +278,16 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
|
||||
except json.JSONDecodeError as e:
|
||||
print("Error loading request body into a dictionary:", e)
|
||||
|
||||
url = app.state.OPENAI_API_BASE_URLS[idx]
|
||||
key = app.state.OPENAI_API_KEYS[idx]
|
||||
|
||||
target_url = f"{url}/{path}"
|
||||
|
||||
if key == "":
|
||||
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
|
||||
|
||||
headers = {}
|
||||
headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
|
||||
headers["Authorization"] = f"Bearer {key}"
|
||||
headers["Content-Type"] = "application/json"
|
||||
|
||||
try:
|
||||
@@ -181,21 +309,7 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
|
||||
headers=dict(r.headers),
|
||||
)
|
||||
else:
|
||||
# For non-SSE, read the response and return it
|
||||
# response_data = (
|
||||
# r.json()
|
||||
# if r.headers.get("Content-Type", "")
|
||||
# == "application/json"
|
||||
# else r.text
|
||||
# )
|
||||
|
||||
response_data = r.json()
|
||||
|
||||
if "api.openai.com" in app.state.OPENAI_API_BASE_URL and path == "models":
|
||||
response_data["data"] = list(
|
||||
filter(lambda model: "gpt" in model["id"], response_data["data"])
|
||||
)
|
||||
|
||||
return response_data
|
||||
except Exception as e:
|
||||
print(e)
|
||||
|
||||
+46
-90
@@ -44,6 +44,8 @@ from apps.web.models.documents import (
|
||||
DocumentResponse,
|
||||
)
|
||||
|
||||
from apps.rag.utils import query_doc, query_collection
|
||||
|
||||
from utils.misc import (
|
||||
calculate_sha256,
|
||||
calculate_sha256_string,
|
||||
@@ -75,6 +77,7 @@ from constants import ERROR_MESSAGES
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
app.state.PDF_EXTRACT_IMAGES = False
|
||||
app.state.CHUNK_SIZE = CHUNK_SIZE
|
||||
app.state.CHUNK_OVERLAP = CHUNK_OVERLAP
|
||||
app.state.RAG_TEMPLATE = RAG_TEMPLATE
|
||||
@@ -108,7 +111,7 @@ class StoreWebForm(CollectionNameForm):
|
||||
url: str
|
||||
|
||||
|
||||
def store_data_in_vector_db(data, collection_name) -> bool:
|
||||
def store_data_in_vector_db(data, collection_name, overwrite: bool = False) -> bool:
|
||||
text_splitter = RecursiveCharacterTextSplitter(
|
||||
chunk_size=app.state.CHUNK_SIZE, chunk_overlap=app.state.CHUNK_OVERLAP
|
||||
)
|
||||
@@ -118,6 +121,12 @@ def store_data_in_vector_db(data, collection_name) -> bool:
|
||||
metadatas = [doc.metadata for doc in docs]
|
||||
|
||||
try:
|
||||
if overwrite:
|
||||
for collection in CHROMA_CLIENT.list_collections():
|
||||
if collection_name == collection.name:
|
||||
print(f"deleting existing collection {collection_name}")
|
||||
CHROMA_CLIENT.delete_collection(name=collection_name)
|
||||
|
||||
collection = CHROMA_CLIENT.create_collection(
|
||||
name=collection_name,
|
||||
embedding_function=app.state.sentence_transformer_ef,
|
||||
@@ -176,12 +185,15 @@ async def update_embedding_model(
|
||||
}
|
||||
|
||||
|
||||
@app.get("/chunk")
|
||||
async def get_chunk_params(user=Depends(get_admin_user)):
|
||||
@app.get("/config")
|
||||
async def get_rag_config(user=Depends(get_admin_user)):
|
||||
return {
|
||||
"status": True,
|
||||
"chunk_size": app.state.CHUNK_SIZE,
|
||||
"chunk_overlap": app.state.CHUNK_OVERLAP,
|
||||
"pdf_extract_images": app.state.PDF_EXTRACT_IMAGES,
|
||||
"chunk": {
|
||||
"chunk_size": app.state.CHUNK_SIZE,
|
||||
"chunk_overlap": app.state.CHUNK_OVERLAP,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -190,17 +202,24 @@ class ChunkParamUpdateForm(BaseModel):
|
||||
chunk_overlap: int
|
||||
|
||||
|
||||
@app.post("/chunk/update")
|
||||
async def update_chunk_params(
|
||||
form_data: ChunkParamUpdateForm, user=Depends(get_admin_user)
|
||||
):
|
||||
app.state.CHUNK_SIZE = form_data.chunk_size
|
||||
app.state.CHUNK_OVERLAP = form_data.chunk_overlap
|
||||
class ConfigUpdateForm(BaseModel):
|
||||
pdf_extract_images: bool
|
||||
chunk: ChunkParamUpdateForm
|
||||
|
||||
|
||||
@app.post("/config/update")
|
||||
async def update_rag_config(form_data: ConfigUpdateForm, user=Depends(get_admin_user)):
|
||||
app.state.PDF_EXTRACT_IMAGES = form_data.pdf_extract_images
|
||||
app.state.CHUNK_SIZE = form_data.chunk.chunk_size
|
||||
app.state.CHUNK_OVERLAP = form_data.chunk.chunk_overlap
|
||||
|
||||
return {
|
||||
"status": True,
|
||||
"chunk_size": app.state.CHUNK_SIZE,
|
||||
"chunk_overlap": app.state.CHUNK_OVERLAP,
|
||||
"pdf_extract_images": app.state.PDF_EXTRACT_IMAGES,
|
||||
"chunk": {
|
||||
"chunk_size": app.state.CHUNK_SIZE,
|
||||
"chunk_overlap": app.state.CHUNK_OVERLAP,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -242,21 +261,18 @@ class QueryDocForm(BaseModel):
|
||||
|
||||
|
||||
@app.post("/query/doc")
|
||||
def query_doc(
|
||||
def query_doc_handler(
|
||||
form_data: QueryDocForm,
|
||||
user=Depends(get_current_user),
|
||||
):
|
||||
|
||||
try:
|
||||
# if you use docker use the model from the environment variable
|
||||
collection = CHROMA_CLIENT.get_collection(
|
||||
name=form_data.collection_name,
|
||||
return query_doc(
|
||||
collection_name=form_data.collection_name,
|
||||
query=form_data.query,
|
||||
k=form_data.k if form_data.k else app.state.TOP_K,
|
||||
embedding_function=app.state.sentence_transformer_ef,
|
||||
)
|
||||
result = collection.query(
|
||||
query_texts=[form_data.query],
|
||||
n_results=form_data.k if form_data.k else app.state.TOP_K,
|
||||
)
|
||||
return result
|
||||
except Exception as e:
|
||||
print(e)
|
||||
raise HTTPException(
|
||||
@@ -271,76 +287,16 @@ class QueryCollectionsForm(BaseModel):
|
||||
k: Optional[int] = None
|
||||
|
||||
|
||||
def merge_and_sort_query_results(query_results, k):
|
||||
# Initialize lists to store combined data
|
||||
combined_ids = []
|
||||
combined_distances = []
|
||||
combined_metadatas = []
|
||||
combined_documents = []
|
||||
|
||||
# Combine data from each dictionary
|
||||
for data in query_results:
|
||||
combined_ids.extend(data["ids"][0])
|
||||
combined_distances.extend(data["distances"][0])
|
||||
combined_metadatas.extend(data["metadatas"][0])
|
||||
combined_documents.extend(data["documents"][0])
|
||||
|
||||
# Create a list of tuples (distance, id, metadata, document)
|
||||
combined = list(
|
||||
zip(combined_distances, combined_ids, combined_metadatas, combined_documents)
|
||||
)
|
||||
|
||||
# Sort the list based on distances
|
||||
combined.sort(key=lambda x: x[0])
|
||||
|
||||
# Unzip the sorted list
|
||||
sorted_distances, sorted_ids, sorted_metadatas, sorted_documents = zip(*combined)
|
||||
|
||||
# Slicing the lists to include only k elements
|
||||
sorted_distances = list(sorted_distances)[:k]
|
||||
sorted_ids = list(sorted_ids)[:k]
|
||||
sorted_metadatas = list(sorted_metadatas)[:k]
|
||||
sorted_documents = list(sorted_documents)[:k]
|
||||
|
||||
# Create the output dictionary
|
||||
merged_query_results = {
|
||||
"ids": [sorted_ids],
|
||||
"distances": [sorted_distances],
|
||||
"metadatas": [sorted_metadatas],
|
||||
"documents": [sorted_documents],
|
||||
"embeddings": None,
|
||||
"uris": None,
|
||||
"data": None,
|
||||
}
|
||||
|
||||
return merged_query_results
|
||||
|
||||
|
||||
@app.post("/query/collection")
|
||||
def query_collection(
|
||||
def query_collection_handler(
|
||||
form_data: QueryCollectionsForm,
|
||||
user=Depends(get_current_user),
|
||||
):
|
||||
results = []
|
||||
|
||||
for collection_name in form_data.collection_names:
|
||||
try:
|
||||
# if you use docker use the model from the environment variable
|
||||
collection = CHROMA_CLIENT.get_collection(
|
||||
name=collection_name,
|
||||
embedding_function=app.state.sentence_transformer_ef,
|
||||
)
|
||||
|
||||
result = collection.query(
|
||||
query_texts=[form_data.query],
|
||||
n_results=form_data.k if form_data.k else app.state.TOP_K,
|
||||
)
|
||||
results.append(result)
|
||||
except:
|
||||
pass
|
||||
|
||||
return merge_and_sort_query_results(
|
||||
results, form_data.k if form_data.k else app.state.TOP_K
|
||||
return query_collection(
|
||||
collection_names=form_data.collection_names,
|
||||
query=form_data.query,
|
||||
k=form_data.k if form_data.k else app.state.TOP_K,
|
||||
embedding_function=app.state.sentence_transformer_ef,
|
||||
)
|
||||
|
||||
|
||||
@@ -355,7 +311,7 @@ def store_web(form_data: StoreWebForm, user=Depends(get_current_user)):
|
||||
if collection_name == "":
|
||||
collection_name = calculate_sha256_string(form_data.url)[:63]
|
||||
|
||||
store_data_in_vector_db(data, collection_name)
|
||||
store_data_in_vector_db(data, collection_name, overwrite=True)
|
||||
return {
|
||||
"status": True,
|
||||
"collection_name": collection_name,
|
||||
@@ -419,7 +375,7 @@ def get_loader(filename: str, file_content_type: str, file_path: str):
|
||||
]
|
||||
|
||||
if file_ext == "pdf":
|
||||
loader = PyPDFLoader(file_path)
|
||||
loader = PyPDFLoader(file_path, extract_images=app.state.PDF_EXTRACT_IMAGES)
|
||||
elif file_ext == "csv":
|
||||
loader = CSVLoader(file_path)
|
||||
elif file_ext == "rst":
|
||||
|
||||
@@ -0,0 +1,182 @@
|
||||
import re
|
||||
from typing import List
|
||||
|
||||
from config import CHROMA_CLIENT
|
||||
|
||||
|
||||
def query_doc(collection_name: str, query: str, k: int, embedding_function):
|
||||
try:
|
||||
# if you use docker use the model from the environment variable
|
||||
collection = CHROMA_CLIENT.get_collection(
|
||||
name=collection_name,
|
||||
embedding_function=embedding_function,
|
||||
)
|
||||
result = collection.query(
|
||||
query_texts=[query],
|
||||
n_results=k,
|
||||
)
|
||||
return result
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
|
||||
def merge_and_sort_query_results(query_results, k):
|
||||
# Initialize lists to store combined data
|
||||
combined_ids = []
|
||||
combined_distances = []
|
||||
combined_metadatas = []
|
||||
combined_documents = []
|
||||
|
||||
# Combine data from each dictionary
|
||||
for data in query_results:
|
||||
combined_ids.extend(data["ids"][0])
|
||||
combined_distances.extend(data["distances"][0])
|
||||
combined_metadatas.extend(data["metadatas"][0])
|
||||
combined_documents.extend(data["documents"][0])
|
||||
|
||||
# Create a list of tuples (distance, id, metadata, document)
|
||||
combined = list(
|
||||
zip(combined_distances, combined_ids, combined_metadatas, combined_documents)
|
||||
)
|
||||
|
||||
# Sort the list based on distances
|
||||
combined.sort(key=lambda x: x[0])
|
||||
|
||||
# Unzip the sorted list
|
||||
sorted_distances, sorted_ids, sorted_metadatas, sorted_documents = zip(*combined)
|
||||
|
||||
# Slicing the lists to include only k elements
|
||||
sorted_distances = list(sorted_distances)[:k]
|
||||
sorted_ids = list(sorted_ids)[:k]
|
||||
sorted_metadatas = list(sorted_metadatas)[:k]
|
||||
sorted_documents = list(sorted_documents)[:k]
|
||||
|
||||
# Create the output dictionary
|
||||
merged_query_results = {
|
||||
"ids": [sorted_ids],
|
||||
"distances": [sorted_distances],
|
||||
"metadatas": [sorted_metadatas],
|
||||
"documents": [sorted_documents],
|
||||
"embeddings": None,
|
||||
"uris": None,
|
||||
"data": None,
|
||||
}
|
||||
|
||||
return merged_query_results
|
||||
|
||||
|
||||
def query_collection(
|
||||
collection_names: List[str], query: str, k: int, embedding_function
|
||||
):
|
||||
|
||||
results = []
|
||||
|
||||
for collection_name in collection_names:
|
||||
try:
|
||||
# if you use docker use the model from the environment variable
|
||||
collection = CHROMA_CLIENT.get_collection(
|
||||
name=collection_name,
|
||||
embedding_function=embedding_function,
|
||||
)
|
||||
|
||||
result = collection.query(
|
||||
query_texts=[query],
|
||||
n_results=k,
|
||||
)
|
||||
results.append(result)
|
||||
except:
|
||||
pass
|
||||
|
||||
return merge_and_sort_query_results(results, k)
|
||||
|
||||
|
||||
def rag_template(template: str, context: str, query: str):
|
||||
template = template.replace("[context]", context)
|
||||
template = template.replace("[query]", query)
|
||||
return template
|
||||
|
||||
|
||||
def rag_messages(docs, messages, template, k, embedding_function):
|
||||
print(docs)
|
||||
|
||||
last_user_message_idx = None
|
||||
for i in range(len(messages) - 1, -1, -1):
|
||||
if messages[i]["role"] == "user":
|
||||
last_user_message_idx = i
|
||||
break
|
||||
|
||||
user_message = messages[last_user_message_idx]
|
||||
|
||||
if isinstance(user_message["content"], list):
|
||||
# Handle list content input
|
||||
content_type = "list"
|
||||
query = ""
|
||||
for content_item in user_message["content"]:
|
||||
if content_item["type"] == "text":
|
||||
query = content_item["text"]
|
||||
break
|
||||
elif isinstance(user_message["content"], str):
|
||||
# Handle text content input
|
||||
content_type = "text"
|
||||
query = user_message["content"]
|
||||
else:
|
||||
# Fallback in case the input does not match expected types
|
||||
content_type = None
|
||||
query = ""
|
||||
|
||||
relevant_contexts = []
|
||||
|
||||
for doc in docs:
|
||||
context = None
|
||||
|
||||
try:
|
||||
if doc["type"] == "collection":
|
||||
context = query_collection(
|
||||
collection_names=doc["collection_names"],
|
||||
query=query,
|
||||
k=k,
|
||||
embedding_function=embedding_function,
|
||||
)
|
||||
else:
|
||||
context = query_doc(
|
||||
collection_name=doc["collection_name"],
|
||||
query=query,
|
||||
k=k,
|
||||
embedding_function=embedding_function,
|
||||
)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
context = None
|
||||
|
||||
relevant_contexts.append(context)
|
||||
|
||||
context_string = ""
|
||||
for context in relevant_contexts:
|
||||
if context:
|
||||
context_string += " ".join(context["documents"][0]) + "\n"
|
||||
|
||||
ra_content = rag_template(
|
||||
template=template,
|
||||
context=context_string,
|
||||
query=query,
|
||||
)
|
||||
|
||||
if content_type == "list":
|
||||
new_content = []
|
||||
for content_item in user_message["content"]:
|
||||
if content_item["type"] == "text":
|
||||
# Update the text item's content with ra_content
|
||||
new_content.append({"type": "text", "text": ra_content})
|
||||
else:
|
||||
# Keep other types of content as they are
|
||||
new_content.append(content_item)
|
||||
new_user_message = {**user_message, "content": new_content}
|
||||
else:
|
||||
new_user_message = {
|
||||
**user_message,
|
||||
"content": ra_content,
|
||||
}
|
||||
|
||||
messages[last_user_message_idx] = new_user_message
|
||||
|
||||
return messages
|
||||
@@ -14,7 +14,7 @@ import json
|
||||
from utils.utils import get_admin_user
|
||||
from utils.misc import calculate_sha256, get_gravatar_url
|
||||
|
||||
from config import OLLAMA_API_BASE_URL, DATA_DIR, UPLOAD_DIR
|
||||
from config import OLLAMA_BASE_URLS, DATA_DIR, UPLOAD_DIR
|
||||
from constants import ERROR_MESSAGES
|
||||
|
||||
|
||||
@@ -75,7 +75,7 @@ async def download_file_stream(url, file_path, file_name, chunk_size=1024 * 1024
|
||||
hashed = calculate_sha256(file)
|
||||
file.seek(0)
|
||||
|
||||
url = f"{OLLAMA_API_BASE_URL}/blobs/sha256:{hashed}"
|
||||
url = f"{OLLAMA_BASE_URLS[0]}/api/blobs/sha256:{hashed}"
|
||||
response = requests.post(url, data=file)
|
||||
|
||||
if response.ok:
|
||||
@@ -147,7 +147,7 @@ def upload(file: UploadFile = File(...)):
|
||||
hashed = calculate_sha256(f)
|
||||
f.seek(0)
|
||||
|
||||
url = f"{OLLAMA_API_BASE_URL}/blobs/sha256:{hashed}"
|
||||
url = f"{OLLAMA_BASE_URLS[0]}/blobs/sha256:{hashed}"
|
||||
response = requests.post(url, data=f)
|
||||
|
||||
if response.ok:
|
||||
|
||||
+32
-7
@@ -200,27 +200,33 @@ if not os.path.exists(LITELLM_CONFIG_PATH):
|
||||
|
||||
|
||||
####################################
|
||||
# OLLAMA_API_BASE_URL
|
||||
# OLLAMA_BASE_URL
|
||||
####################################
|
||||
|
||||
OLLAMA_API_BASE_URL = os.environ.get(
|
||||
"OLLAMA_API_BASE_URL", "http://localhost:11434/api"
|
||||
)
|
||||
|
||||
if ENV == "prod":
|
||||
if OLLAMA_API_BASE_URL == "/ollama/api":
|
||||
OLLAMA_API_BASE_URL = "http://host.docker.internal:11434/api"
|
||||
|
||||
|
||||
OLLAMA_BASE_URL = os.environ.get("OLLAMA_BASE_URL", "")
|
||||
|
||||
if OLLAMA_BASE_URL == "":
|
||||
|
||||
if OLLAMA_BASE_URL == "" and OLLAMA_API_BASE_URL != "":
|
||||
OLLAMA_BASE_URL = (
|
||||
OLLAMA_API_BASE_URL[:-4]
|
||||
if OLLAMA_API_BASE_URL.endswith("/api")
|
||||
else OLLAMA_API_BASE_URL
|
||||
)
|
||||
|
||||
if ENV == "prod":
|
||||
if OLLAMA_BASE_URL == "/ollama":
|
||||
OLLAMA_BASE_URL = "http://host.docker.internal:11434"
|
||||
|
||||
|
||||
OLLAMA_BASE_URLS = os.environ.get("OLLAMA_BASE_URLS", "")
|
||||
OLLAMA_BASE_URLS = OLLAMA_BASE_URLS if OLLAMA_BASE_URLS != "" else OLLAMA_BASE_URL
|
||||
|
||||
OLLAMA_BASE_URLS = [url.strip() for url in OLLAMA_BASE_URLS.split(";")]
|
||||
|
||||
|
||||
####################################
|
||||
# OPENAI_API
|
||||
@@ -229,9 +235,23 @@ if OLLAMA_BASE_URL == "":
|
||||
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
|
||||
OPENAI_API_BASE_URL = os.environ.get("OPENAI_API_BASE_URL", "")
|
||||
|
||||
|
||||
if OPENAI_API_BASE_URL == "":
|
||||
OPENAI_API_BASE_URL = "https://api.openai.com/v1"
|
||||
|
||||
OPENAI_API_KEYS = os.environ.get("OPENAI_API_KEYS", "")
|
||||
OPENAI_API_KEYS = OPENAI_API_KEYS if OPENAI_API_KEYS != "" else OPENAI_API_KEY
|
||||
|
||||
OPENAI_API_KEYS = [url.strip() for url in OPENAI_API_KEYS.split(";")]
|
||||
|
||||
|
||||
OPENAI_API_BASE_URLS = os.environ.get("OPENAI_API_BASE_URLS", "")
|
||||
OPENAI_API_BASE_URLS = (
|
||||
OPENAI_API_BASE_URLS if OPENAI_API_BASE_URLS != "" else OPENAI_API_BASE_URL
|
||||
)
|
||||
|
||||
OPENAI_API_BASE_URLS = [url.strip() for url in OPENAI_API_BASE_URLS.split(";")]
|
||||
|
||||
|
||||
####################################
|
||||
# WEBUI
|
||||
@@ -271,6 +291,11 @@ DEFAULT_USER_ROLE = os.getenv("DEFAULT_USER_ROLE", "pending")
|
||||
USER_PERMISSIONS = {"chat": {"deletion": True}}
|
||||
|
||||
|
||||
MODEL_FILTER_ENABLED = os.environ.get("MODEL_FILTER_ENABLED", False)
|
||||
MODEL_FILTER_LIST = os.environ.get("MODEL_FILTER_LIST", "")
|
||||
MODEL_FILTER_LIST = [model.strip() for model in MODEL_FILTER_LIST.split(";")]
|
||||
|
||||
|
||||
####################################
|
||||
# WEBUI_VERSION
|
||||
####################################
|
||||
|
||||
@@ -41,6 +41,7 @@ class ERROR_MESSAGES(str, Enum):
|
||||
NOT_FOUND = "We could not find what you're looking for :/"
|
||||
USER_NOT_FOUND = "We could not find what you're looking for :/"
|
||||
API_KEY_NOT_FOUND = "Oops! It looks like there's a hiccup. The API key is missing. Please make sure to provide a valid API key to access this feature."
|
||||
|
||||
MALICIOUS = "Unusual activities detected, please try again in a few minutes."
|
||||
|
||||
PANDOC_NOT_INSTALLED = "Pandoc is not installed on the server. Please contact your administrator for assistance."
|
||||
@@ -48,3 +49,7 @@ class ERROR_MESSAGES(str, Enum):
|
||||
lambda err="": f"Invalid format. Please use the correct format{err if err else ''}"
|
||||
)
|
||||
RATE_LIMIT_EXCEEDED = "API rate limit exceeded"
|
||||
|
||||
MODEL_NOT_FOUND = lambda name="": f"Model '{name}' was not found"
|
||||
OPENAI_NOT_FOUND = lambda name="": f"OpenAI API was not found"
|
||||
OLLAMA_NOT_FOUND = "WebUI could not connect to Ollama"
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
{
|
||||
"version": "0.0.1",
|
||||
"ui": {
|
||||
"prompt_suggestions": [
|
||||
{
|
||||
|
||||
+122
-41
@@ -9,28 +9,38 @@ import requests
|
||||
from fastapi import FastAPI, Request, Depends, status
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
from fastapi import HTTPException
|
||||
from fastapi.responses import JSONResponse
|
||||
from fastapi.middleware.wsgi import WSGIMiddleware
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from starlette.exceptions import HTTPException as StarletteHTTPException
|
||||
from starlette.middleware.base import BaseHTTPMiddleware
|
||||
|
||||
|
||||
from litellm.proxy.proxy_server import ProxyConfig, initialize
|
||||
from litellm.proxy.proxy_server import app as litellm_app
|
||||
|
||||
from apps.ollama.main import app as ollama_app
|
||||
from apps.openai.main import app as openai_app
|
||||
from apps.litellm.main import app as litellm_app, startup as litellm_app_startup
|
||||
from apps.audio.main import app as audio_app
|
||||
from apps.images.main import app as images_app
|
||||
from apps.rag.main import app as rag_app
|
||||
from apps.web.main import app as webui_app
|
||||
|
||||
from pydantic import BaseModel
|
||||
from typing import List
|
||||
|
||||
from config import WEBUI_NAME, ENV, VERSION, CHANGELOG, FRONTEND_BUILD_DIR
|
||||
|
||||
from utils.utils import get_admin_user
|
||||
from apps.rag.utils import rag_messages
|
||||
|
||||
from config import (
|
||||
WEBUI_NAME,
|
||||
ENV,
|
||||
VERSION,
|
||||
CHANGELOG,
|
||||
FRONTEND_BUILD_DIR,
|
||||
MODEL_FILTER_ENABLED,
|
||||
MODEL_FILTER_LIST,
|
||||
)
|
||||
from constants import ERROR_MESSAGES
|
||||
|
||||
from utils.utils import get_http_authorization_cred, get_current_user
|
||||
|
||||
|
||||
class SPAStaticFiles(StaticFiles):
|
||||
async def get_response(self, path: str, scope):
|
||||
@@ -43,25 +53,69 @@ class SPAStaticFiles(StaticFiles):
|
||||
raise ex
|
||||
|
||||
|
||||
proxy_config = ProxyConfig()
|
||||
|
||||
|
||||
async def config():
|
||||
router, model_list, general_settings = await proxy_config.load_config(
|
||||
router=None, config_file_path="./data/litellm/config.yaml"
|
||||
)
|
||||
|
||||
await initialize(config="./data/litellm/config.yaml", telemetry=False)
|
||||
|
||||
|
||||
async def startup():
|
||||
await config()
|
||||
|
||||
|
||||
app = FastAPI(docs_url="/docs" if ENV == "dev" else None, redoc_url=None)
|
||||
|
||||
app.state.MODEL_FILTER_ENABLED = MODEL_FILTER_ENABLED
|
||||
app.state.MODEL_FILTER_LIST = MODEL_FILTER_LIST
|
||||
|
||||
origins = ["*"]
|
||||
|
||||
|
||||
class RAGMiddleware(BaseHTTPMiddleware):
|
||||
async def dispatch(self, request: Request, call_next):
|
||||
if request.method == "POST" and (
|
||||
"/api/chat" in request.url.path or "/chat/completions" in request.url.path
|
||||
):
|
||||
print(request.url.path)
|
||||
|
||||
# Read the original request body
|
||||
body = await request.body()
|
||||
# Decode body to string
|
||||
body_str = body.decode("utf-8")
|
||||
# Parse string to JSON
|
||||
data = json.loads(body_str) if body_str else {}
|
||||
|
||||
# Example: Add a new key-value pair or modify existing ones
|
||||
# data["modified"] = True # Example modification
|
||||
if "docs" in data:
|
||||
|
||||
data = {**data}
|
||||
data["messages"] = rag_messages(
|
||||
data["docs"],
|
||||
data["messages"],
|
||||
rag_app.state.RAG_TEMPLATE,
|
||||
rag_app.state.TOP_K,
|
||||
rag_app.state.sentence_transformer_ef,
|
||||
)
|
||||
del data["docs"]
|
||||
|
||||
print(data["messages"])
|
||||
|
||||
modified_body_bytes = json.dumps(data).encode("utf-8")
|
||||
|
||||
# Replace the request body with the modified one
|
||||
request._body = modified_body_bytes
|
||||
|
||||
# Set custom header to ensure content-length matches new body length
|
||||
request.headers.__dict__["_list"] = [
|
||||
(b"content-length", str(len(modified_body_bytes)).encode("utf-8")),
|
||||
*[
|
||||
(k, v)
|
||||
for k, v in request.headers.raw
|
||||
if k.lower() != b"content-length"
|
||||
],
|
||||
]
|
||||
|
||||
response = await call_next(request)
|
||||
return response
|
||||
|
||||
async def _receive(self, body: bytes):
|
||||
return {"type": "http.request", "body": body, "more_body": False}
|
||||
|
||||
|
||||
app.add_middleware(RAGMiddleware)
|
||||
|
||||
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=origins,
|
||||
@@ -71,11 +125,6 @@ app.add_middleware(
|
||||
)
|
||||
|
||||
|
||||
@app.on_event("startup")
|
||||
async def on_startup():
|
||||
await startup()
|
||||
|
||||
|
||||
@app.middleware("http")
|
||||
async def check_url(request: Request, call_next):
|
||||
start_time = int(time.time())
|
||||
@@ -86,25 +135,15 @@ async def check_url(request: Request, call_next):
|
||||
return response
|
||||
|
||||
|
||||
@litellm_app.middleware("http")
|
||||
async def auth_middleware(request: Request, call_next):
|
||||
auth_header = request.headers.get("Authorization", "")
|
||||
|
||||
if ENV != "dev":
|
||||
try:
|
||||
user = get_current_user(get_http_authorization_cred(auth_header))
|
||||
print(user)
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=400, content={"detail": str(e)})
|
||||
|
||||
response = await call_next(request)
|
||||
return response
|
||||
@app.on_event("startup")
|
||||
async def on_startup():
|
||||
await litellm_app_startup()
|
||||
|
||||
|
||||
app.mount("/api/v1", webui_app)
|
||||
app.mount("/litellm/api", litellm_app)
|
||||
|
||||
app.mount("/ollama/api", ollama_app)
|
||||
app.mount("/ollama", ollama_app)
|
||||
app.mount("/openai/api", openai_app)
|
||||
|
||||
app.mount("/images/api/v1", images_app)
|
||||
@@ -125,6 +164,47 @@ async def get_app_config():
|
||||
}
|
||||
|
||||
|
||||
@app.get("/api/config/model/filter")
|
||||
async def get_model_filter_config(user=Depends(get_admin_user)):
|
||||
return {
|
||||
"enabled": app.state.MODEL_FILTER_ENABLED,
|
||||
"models": app.state.MODEL_FILTER_LIST,
|
||||
}
|
||||
|
||||
|
||||
class ModelFilterConfigForm(BaseModel):
|
||||
enabled: bool
|
||||
models: List[str]
|
||||
|
||||
|
||||
@app.post("/api/config/model/filter")
|
||||
async def get_model_filter_config(
|
||||
form_data: ModelFilterConfigForm, user=Depends(get_admin_user)
|
||||
):
|
||||
|
||||
app.state.MODEL_FILTER_ENABLED = form_data.enabled
|
||||
app.state.MODEL_FILTER_LIST = form_data.models
|
||||
|
||||
ollama_app.state.MODEL_FILTER_ENABLED = app.state.MODEL_FILTER_ENABLED
|
||||
ollama_app.state.MODEL_FILTER_LIST = app.state.MODEL_FILTER_LIST
|
||||
|
||||
openai_app.state.MODEL_FILTER_ENABLED = app.state.MODEL_FILTER_ENABLED
|
||||
openai_app.state.MODEL_FILTER_LIST = app.state.MODEL_FILTER_LIST
|
||||
|
||||
return {
|
||||
"enabled": app.state.MODEL_FILTER_ENABLED,
|
||||
"models": app.state.MODEL_FILTER_LIST,
|
||||
}
|
||||
|
||||
|
||||
@app.get("/api/version")
|
||||
async def get_app_config():
|
||||
|
||||
return {
|
||||
"version": VERSION,
|
||||
}
|
||||
|
||||
|
||||
@app.get("/api/changelog")
|
||||
async def get_app_changelog():
|
||||
return CHANGELOG
|
||||
@@ -148,6 +228,7 @@ async def get_app_latest_release_version():
|
||||
|
||||
|
||||
app.mount("/static", StaticFiles(directory="static"), name="static")
|
||||
app.mount("/cache", StaticFiles(directory="data/cache"), name="cache")
|
||||
|
||||
|
||||
app.mount(
|
||||
|
||||
@@ -16,12 +16,14 @@ aiohttp
|
||||
peewee
|
||||
bcrypt
|
||||
|
||||
litellm
|
||||
litellm==1.30.7
|
||||
argon2-cffi
|
||||
apscheduler
|
||||
google-generativeai
|
||||
|
||||
langchain
|
||||
langchain-community
|
||||
fake_useragent
|
||||
chromadb
|
||||
sentence_transformers
|
||||
pypdf
|
||||
@@ -34,6 +36,9 @@ openpyxl
|
||||
pyxlsb
|
||||
xlrd
|
||||
|
||||
opencv-python-headless
|
||||
rapidocr-onnxruntime
|
||||
|
||||
faster-whisper
|
||||
|
||||
PyJWT
|
||||
|
||||
+2
-2
@@ -14,7 +14,7 @@ services:
|
||||
build:
|
||||
context: .
|
||||
args:
|
||||
OLLAMA_API_BASE_URL: '/ollama/api'
|
||||
OLLAMA_BASE_URL: '/ollama'
|
||||
dockerfile: Dockerfile
|
||||
image: ghcr.io/open-webui/open-webui:main
|
||||
container_name: open-webui
|
||||
@@ -25,7 +25,7 @@ services:
|
||||
ports:
|
||||
- ${OPEN_WEBUI_PORT-3000}:8080
|
||||
environment:
|
||||
- 'OLLAMA_API_BASE_URL=http://ollama:11434/api'
|
||||
- 'OLLAMA_BASE_URL=http://ollama:11434'
|
||||
- 'WEBUI_SECRET_KEY='
|
||||
extra_hosts:
|
||||
- host.docker.internal:host-gateway
|
||||
|
||||
@@ -40,7 +40,7 @@ spec:
|
||||
- name: data
|
||||
mountPath: /app/backend/data
|
||||
env:
|
||||
- name: OLLAMA_API_BASE_URL
|
||||
- name: OLLAMA_BASE_URL
|
||||
value: {{ include "ollama.url" . | quote }}
|
||||
tty: true
|
||||
{{- with .Values.webui.nodeSelector }}
|
||||
|
||||
@@ -26,8 +26,8 @@ spec:
|
||||
cpu: "1000m"
|
||||
memory: "1Gi"
|
||||
env:
|
||||
- name: OLLAMA_API_BASE_URL
|
||||
value: "http://ollama-service.open-webui.svc.cluster.local:11434/api"
|
||||
- name: OLLAMA_BASE_URL
|
||||
value: "http://ollama-service.open-webui.svc.cluster.local:11434"
|
||||
tty: true
|
||||
volumeMounts:
|
||||
- name: webui-volume
|
||||
|
||||
+1
-1
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "open-webui",
|
||||
"version": "0.1.108",
|
||||
"version": "0.1.112",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "vite dev --host",
|
||||
|
||||
@@ -43,6 +43,10 @@ ol > li {
|
||||
font-weight: 400;
|
||||
}
|
||||
|
||||
li p {
|
||||
display: inline;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-thumb {
|
||||
--tw-border-opacity: 1;
|
||||
background-color: rgba(217, 217, 227, 0.8);
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
import { IMAGES_API_BASE_URL } from '$lib/constants';
|
||||
|
||||
export const getImageGenerationEnabledStatus = async (token: string = '') => {
|
||||
export const getImageGenerationConfig = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/enabled`, {
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/config`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
@@ -32,10 +32,50 @@ export const getImageGenerationEnabledStatus = async (token: string = '') => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const toggleImageGenerationEnabledStatus = async (token: string = '') => {
|
||||
export const updateImageGenerationConfig = async (
|
||||
token: string = '',
|
||||
engine: string,
|
||||
enabled: boolean
|
||||
) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/enabled/toggle`, {
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/config/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({
|
||||
engine,
|
||||
enabled
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
} else {
|
||||
error = 'Server connection failed';
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getOpenAIKey = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/key`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
@@ -61,7 +101,42 @@ export const toggleImageGenerationEnabledStatus = async (token: string = '') =>
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res;
|
||||
return res.OPENAI_API_KEY;
|
||||
};
|
||||
|
||||
export const updateOpenAIKey = async (token: string = '', key: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/key/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({
|
||||
key: key
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
} else {
|
||||
error = 'Server connection failed';
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.OPENAI_API_KEY;
|
||||
};
|
||||
|
||||
export const getAUTOMATIC1111Url = async (token: string = '') => {
|
||||
@@ -263,7 +338,7 @@ export const updateImageSteps = async (token: string = '', steps: number) => {
|
||||
return res.IMAGE_STEPS;
|
||||
};
|
||||
|
||||
export const getDiffusionModels = async (token: string = '') => {
|
||||
export const getImageGenerationModels = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/models`, {
|
||||
@@ -295,7 +370,7 @@ export const getDiffusionModels = async (token: string = '') => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getDefaultDiffusionModel = async (token: string = '') => {
|
||||
export const getDefaultImageGenerationModel = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/models/default`, {
|
||||
@@ -327,7 +402,7 @@ export const getDefaultDiffusionModel = async (token: string = '') => {
|
||||
return res.model;
|
||||
};
|
||||
|
||||
export const updateDefaultDiffusionModel = async (token: string = '', model: string) => {
|
||||
export const updateDefaultImageGenerationModel = async (token: string = '', model: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${IMAGES_API_BASE_URL}/models/default/update`, {
|
||||
|
||||
@@ -77,3 +77,65 @@ export const getVersionUpdates = async () => {
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
export const getModelFilterConfig = async (token: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${WEBUI_BASE_URL}/api/config/model/filter`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
}
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
error = err;
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
export const updateModelFilterConfig = async (
|
||||
token: string,
|
||||
enabled: boolean,
|
||||
models: string[]
|
||||
) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${WEBUI_BASE_URL}/api/config/model/filter`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
enabled: enabled,
|
||||
models: models
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
error = err;
|
||||
return null;
|
||||
});
|
||||
|
||||
if (error) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res;
|
||||
};
|
||||
|
||||
@@ -77,6 +77,7 @@ type AddLiteLLMModelForm = {
|
||||
api_base: string;
|
||||
api_key: string;
|
||||
rpm: string;
|
||||
max_tokens: string;
|
||||
};
|
||||
|
||||
export const addLiteLLMModel = async (token: string = '', payload: AddLiteLLMModelForm) => {
|
||||
@@ -95,7 +96,8 @@ export const addLiteLLMModel = async (token: string = '', payload: AddLiteLLMMod
|
||||
model: payload.model,
|
||||
...(payload.api_base === '' ? {} : { api_base: payload.api_base }),
|
||||
...(payload.api_key === '' ? {} : { api_key: payload.api_key }),
|
||||
...(isNaN(parseInt(payload.rpm)) ? {} : { rpm: parseInt(payload.rpm) })
|
||||
...(isNaN(parseInt(payload.rpm)) ? {} : { rpm: parseInt(payload.rpm) }),
|
||||
...(payload.max_tokens === '' ? {} : { max_tokens: payload.max_tokens })
|
||||
}
|
||||
})
|
||||
})
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
import { OLLAMA_API_BASE_URL } from '$lib/constants';
|
||||
|
||||
export const getOllamaAPIUrl = async (token: string = '') => {
|
||||
export const getOllamaUrls = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/url`, {
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/urls`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
@@ -29,13 +29,13 @@ export const getOllamaAPIUrl = async (token: string = '') => {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.OLLAMA_BASE_URL;
|
||||
return res.OLLAMA_BASE_URLS;
|
||||
};
|
||||
|
||||
export const updateOllamaAPIUrl = async (token: string = '', url: string) => {
|
||||
export const updateOllamaUrls = async (token: string = '', urls: string[]) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/url/update`, {
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/urls/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
@@ -43,7 +43,7 @@ export const updateOllamaAPIUrl = async (token: string = '', url: string) => {
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({
|
||||
url: url
|
||||
urls: urls
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
@@ -64,7 +64,7 @@ export const updateOllamaAPIUrl = async (token: string = '', url: string) => {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.OLLAMA_BASE_URL;
|
||||
return res.OLLAMA_BASE_URLS;
|
||||
};
|
||||
|
||||
export const getOllamaVersion = async (token: string = '') => {
|
||||
@@ -151,7 +151,8 @@ export const generateTitle = async (
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/api/generate`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'text/event-stream',
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
@@ -189,7 +190,8 @@ export const generatePrompt = async (token: string = '', model: string, conversa
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/api/generate`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'text/event-stream',
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
@@ -223,7 +225,8 @@ export const generateTextCompletion = async (token: string = '', model: string,
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/api/generate`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'text/event-stream',
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
@@ -251,7 +254,8 @@ export const generateChatCompletion = async (token: string = '', body: object) =
|
||||
signal: controller.signal,
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'text/event-stream',
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify(body)
|
||||
@@ -294,7 +298,8 @@ export const createModel = async (token: string, tagName: string, content: strin
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/api/create`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'text/event-stream',
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
@@ -313,19 +318,23 @@ export const createModel = async (token: string, tagName: string, content: strin
|
||||
return res;
|
||||
};
|
||||
|
||||
export const deleteModel = async (token: string, tagName: string) => {
|
||||
export const deleteModel = async (token: string, tagName: string, urlIdx: string | null = null) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/api/delete`, {
|
||||
method: 'DELETE',
|
||||
headers: {
|
||||
'Content-Type': 'text/event-stream',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
name: tagName
|
||||
})
|
||||
})
|
||||
const res = await fetch(
|
||||
`${OLLAMA_API_BASE_URL}/api/delete${urlIdx !== null ? `/${urlIdx}` : ''}`,
|
||||
{
|
||||
method: 'DELETE',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
name: tagName
|
||||
})
|
||||
}
|
||||
)
|
||||
.then(async (res) => {
|
||||
if (!res.ok) throw await res.json();
|
||||
return res.json();
|
||||
@@ -336,7 +345,12 @@ export const deleteModel = async (token: string, tagName: string) => {
|
||||
})
|
||||
.catch((err) => {
|
||||
console.log(err);
|
||||
error = err.error;
|
||||
error = err;
|
||||
|
||||
if ('detail' in err) {
|
||||
error = err.detail;
|
||||
}
|
||||
|
||||
return null;
|
||||
});
|
||||
|
||||
@@ -347,13 +361,14 @@ export const deleteModel = async (token: string, tagName: string) => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const pullModel = async (token: string, tagName: string) => {
|
||||
export const pullModel = async (token: string, tagName: string, urlIdx: string | null = null) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/api/pull`, {
|
||||
const res = await fetch(`${OLLAMA_API_BASE_URL}/api/pull${urlIdx !== null ? `/${urlIdx}` : ''}`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'text/event-stream',
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
import { OPENAI_API_BASE_URL } from '$lib/constants';
|
||||
|
||||
export const getOpenAIUrl = async (token: string = '') => {
|
||||
export const getOpenAIUrls = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${OPENAI_API_BASE_URL}/url`, {
|
||||
const res = await fetch(`${OPENAI_API_BASE_URL}/urls`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
@@ -29,13 +29,13 @@ export const getOpenAIUrl = async (token: string = '') => {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.OPENAI_API_BASE_URL;
|
||||
return res.OPENAI_API_BASE_URLS;
|
||||
};
|
||||
|
||||
export const updateOpenAIUrl = async (token: string = '', url: string) => {
|
||||
export const updateOpenAIUrls = async (token: string = '', urls: string[]) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${OPENAI_API_BASE_URL}/url/update`, {
|
||||
const res = await fetch(`${OPENAI_API_BASE_URL}/urls/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
@@ -43,7 +43,7 @@ export const updateOpenAIUrl = async (token: string = '', url: string) => {
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({
|
||||
url: url
|
||||
urls: urls
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
@@ -64,13 +64,13 @@ export const updateOpenAIUrl = async (token: string = '', url: string) => {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.OPENAI_API_BASE_URL;
|
||||
return res.OPENAI_API_BASE_URLS;
|
||||
};
|
||||
|
||||
export const getOpenAIKey = async (token: string = '') => {
|
||||
export const getOpenAIKeys = async (token: string = '') => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${OPENAI_API_BASE_URL}/key`, {
|
||||
const res = await fetch(`${OPENAI_API_BASE_URL}/keys`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
@@ -96,13 +96,13 @@ export const getOpenAIKey = async (token: string = '') => {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.OPENAI_API_KEY;
|
||||
return res.OPENAI_API_KEYS;
|
||||
};
|
||||
|
||||
export const updateOpenAIKey = async (token: string = '', key: string) => {
|
||||
export const updateOpenAIKeys = async (token: string = '', keys: string[]) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${OPENAI_API_BASE_URL}/key/update`, {
|
||||
const res = await fetch(`${OPENAI_API_BASE_URL}/keys/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Accept: 'application/json',
|
||||
@@ -110,7 +110,7 @@ export const updateOpenAIKey = async (token: string = '', key: string) => {
|
||||
...(token && { authorization: `Bearer ${token}` })
|
||||
},
|
||||
body: JSON.stringify({
|
||||
key: key
|
||||
keys: keys
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
@@ -131,7 +131,7 @@ export const updateOpenAIKey = async (token: string = '', key: string) => {
|
||||
throw error;
|
||||
}
|
||||
|
||||
return res.OPENAI_API_KEY;
|
||||
return res.OPENAI_API_KEYS;
|
||||
};
|
||||
|
||||
export const getOpenAIModels = async (token: string = '') => {
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
import { RAG_API_BASE_URL } from '$lib/constants';
|
||||
|
||||
export const getChunkParams = async (token: string) => {
|
||||
export const getRAGConfig = async (token: string) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${RAG_API_BASE_URL}/chunk`, {
|
||||
const res = await fetch(`${RAG_API_BASE_URL}/config`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
@@ -27,18 +27,27 @@ export const getChunkParams = async (token: string) => {
|
||||
return res;
|
||||
};
|
||||
|
||||
export const updateChunkParams = async (token: string, size: number, overlap: number) => {
|
||||
type ChunkConfigForm = {
|
||||
chunk_size: number;
|
||||
chunk_overlap: number;
|
||||
};
|
||||
|
||||
type RAGConfigForm = {
|
||||
pdf_extract_images: boolean;
|
||||
chunk: ChunkConfigForm;
|
||||
};
|
||||
|
||||
export const updateRAGConfig = async (token: string, payload: RAGConfigForm) => {
|
||||
let error = null;
|
||||
|
||||
const res = await fetch(`${RAG_API_BASE_URL}/chunk/update`, {
|
||||
const res = await fetch(`${RAG_API_BASE_URL}/config/update`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
},
|
||||
body: JSON.stringify({
|
||||
chunk_size: size,
|
||||
chunk_overlap: overlap
|
||||
...payload
|
||||
})
|
||||
})
|
||||
.then(async (res) => {
|
||||
@@ -252,7 +261,7 @@ export const queryCollection = async (
|
||||
token: string,
|
||||
collection_names: string,
|
||||
query: string,
|
||||
k: number
|
||||
k: number | null = null
|
||||
) => {
|
||||
let error = null;
|
||||
|
||||
|
||||
@@ -1,10 +1,14 @@
|
||||
<script lang="ts">
|
||||
import { getModelFilterConfig, updateModelFilterConfig } from '$lib/apis';
|
||||
import { getSignUpEnabledStatus, toggleSignUpEnabledStatus } from '$lib/apis/auths';
|
||||
import { getUserPermissions, updateUserPermissions } from '$lib/apis/users';
|
||||
import { models } from '$lib/stores';
|
||||
import { onMount } from 'svelte';
|
||||
|
||||
export let saveHandler: Function;
|
||||
|
||||
let whitelistEnabled = false;
|
||||
let whitelistModels = [''];
|
||||
let permissions = {
|
||||
chat: {
|
||||
deletion: true
|
||||
@@ -13,6 +17,13 @@
|
||||
|
||||
onMount(async () => {
|
||||
permissions = await getUserPermissions(localStorage.token);
|
||||
|
||||
const res = await getModelFilterConfig(localStorage.token);
|
||||
if (res) {
|
||||
whitelistEnabled = res.enabled;
|
||||
|
||||
whitelistModels = res.models.length > 0 ? res.models : [''];
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
@@ -21,6 +32,8 @@
|
||||
on:submit|preventDefault={async () => {
|
||||
// console.log('submit');
|
||||
await updateUserPermissions(localStorage.token, permissions);
|
||||
|
||||
await updateModelFilterConfig(localStorage.token, whitelistEnabled, whitelistModels);
|
||||
saveHandler();
|
||||
}}
|
||||
>
|
||||
@@ -69,6 +82,106 @@
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<hr class=" dark:border-gray-700 my-2" />
|
||||
|
||||
<div class="mt-2 space-y-3 pr-1.5">
|
||||
<div>
|
||||
<div class="mb-2">
|
||||
<div class="flex justify-between items-center text-xs">
|
||||
<div class=" text-sm font-medium">Manage Models</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class=" space-y-3">
|
||||
<div>
|
||||
<div class="flex justify-between items-center text-xs">
|
||||
<div class=" text-xs font-medium">Model Whitelisting</div>
|
||||
|
||||
<button
|
||||
class=" text-xs font-medium text-gray-500"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
whitelistEnabled = !whitelistEnabled;
|
||||
}}>{whitelistEnabled ? 'On' : 'Off'}</button
|
||||
>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{#if whitelistEnabled}
|
||||
<div>
|
||||
<div class=" space-y-1.5">
|
||||
{#each whitelistModels as modelId, modelIdx}
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<select
|
||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
bind:value={modelId}
|
||||
placeholder="Select a model"
|
||||
>
|
||||
<option value="" disabled selected>Select a model</option>
|
||||
{#each $models.filter((model) => model.id) as model}
|
||||
<option value={model.id} class="bg-gray-100 dark:bg-gray-700"
|
||||
>{model.name}</option
|
||||
>
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
|
||||
{#if modelIdx === 0}
|
||||
<button
|
||||
class="px-2.5 bg-gray-100 hover:bg-gray-200 text-gray-800 dark:bg-gray-900 dark:text-white rounded-lg transition"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
if (whitelistModels.at(-1) !== '') {
|
||||
whitelistModels = [...whitelistModels, ''];
|
||||
}
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
d="M8.75 3.75a.75.75 0 0 0-1.5 0v3.5h-3.5a.75.75 0 0 0 0 1.5h3.5v3.5a.75.75 0 0 0 1.5 0v-3.5h3.5a.75.75 0 0 0 0-1.5h-3.5v-3.5Z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
{:else}
|
||||
<button
|
||||
class="px-2.5 bg-gray-100 hover:bg-gray-200 text-gray-800 dark:bg-gray-900 dark:text-white rounded-lg transition"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
whitelistModels.splice(modelIdx, 1);
|
||||
whitelistModels = whitelistModels;
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path d="M3.75 7.25a.75.75 0 0 0 0 1.5h8.5a.75.75 0 0 0 0-1.5h-8.5Z" />
|
||||
</svg>
|
||||
</button>
|
||||
{/if}
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
|
||||
<div class="flex justify-end items-center text-xs mt-1.5 text-right">
|
||||
<div class=" text-xs font-medium">
|
||||
{whitelistModels.length} Model(s) Whitelisted
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="flex justify-end pt-3 text-sm font-medium">
|
||||
|
||||
@@ -19,7 +19,7 @@
|
||||
|
||||
export let suggestionPrompts = [];
|
||||
export let autoScroll = true;
|
||||
|
||||
let chatTextAreaElement: HTMLTextAreaElement;
|
||||
let filesInputElement;
|
||||
|
||||
let promptsElement;
|
||||
@@ -43,11 +43,9 @@
|
||||
let speechRecognition;
|
||||
|
||||
$: if (prompt) {
|
||||
const chatInput = document.getElementById('chat-textarea');
|
||||
|
||||
if (chatInput) {
|
||||
chatInput.style.height = '';
|
||||
chatInput.style.height = Math.min(chatInput.scrollHeight, 200) + 'px';
|
||||
if (chatTextAreaElement) {
|
||||
chatTextAreaElement.style.height = '';
|
||||
chatTextAreaElement.style.height = Math.min(chatTextAreaElement.scrollHeight, 200) + 'px';
|
||||
}
|
||||
}
|
||||
|
||||
@@ -86,9 +84,7 @@
|
||||
if (res) {
|
||||
prompt = res.text;
|
||||
await tick();
|
||||
|
||||
const inputElement = document.getElementById('chat-textarea');
|
||||
inputElement?.focus();
|
||||
chatTextAreaElement?.focus();
|
||||
|
||||
if (prompt !== '' && $settings?.speechAutoSend === true) {
|
||||
submitPrompt(prompt, user);
|
||||
@@ -191,8 +187,7 @@
|
||||
prompt = `${prompt}${transcript}`;
|
||||
|
||||
await tick();
|
||||
const inputElement = document.getElementById('chat-textarea');
|
||||
inputElement?.focus();
|
||||
chatTextAreaElement?.focus();
|
||||
|
||||
// Restart the inactivity timeout
|
||||
timeoutId = setTimeout(() => {
|
||||
@@ -294,8 +289,7 @@
|
||||
};
|
||||
|
||||
onMount(() => {
|
||||
const chatInput = document.getElementById('chat-textarea');
|
||||
window.setTimeout(() => chatInput?.focus(), 0);
|
||||
window.setTimeout(() => chatTextAreaElement?.focus(), 0);
|
||||
|
||||
const dropZone = document.querySelector('body');
|
||||
|
||||
@@ -365,12 +359,12 @@
|
||||
|
||||
{#if dragged}
|
||||
<div
|
||||
class="fixed w-full h-full flex z-50 touch-none pointer-events-none"
|
||||
class="fixed lg:w-[calc(100%-260px)] w-full h-full flex z-50 touch-none pointer-events-none"
|
||||
id="dropzone"
|
||||
role="region"
|
||||
aria-label="Drag and Drop Container"
|
||||
>
|
||||
<div class="absolute rounded-xl w-full h-full backdrop-blur bg-gray-800/40 flex justify-center">
|
||||
<div class="absolute w-full h-full backdrop-blur bg-gray-800/40 flex justify-center">
|
||||
<div class="m-auto pt-64 flex flex-col justify-center">
|
||||
<div class="max-w-md">
|
||||
<AddFilesPlaceholder />
|
||||
@@ -663,6 +657,7 @@
|
||||
|
||||
<textarea
|
||||
id="chat-textarea"
|
||||
bind:this={chatTextAreaElement}
|
||||
class=" dark:bg-gray-900 dark:text-gray-100 outline-none w-full py-3 px-3 {fileUploadEnabled
|
||||
? ''
|
||||
: ' pl-4'} rounded-xl resize-none h-[48px]"
|
||||
|
||||
@@ -223,33 +223,80 @@
|
||||
}, 100);
|
||||
};
|
||||
|
||||
// TODO: change delete behaviour
|
||||
// const deleteMessageAndDescendants = async (messageId: string) => {
|
||||
// if (history.messages[messageId]) {
|
||||
// history.messages[messageId].deleted = true;
|
||||
|
||||
// for (const childId of history.messages[messageId].childrenIds) {
|
||||
// await deleteMessageAndDescendants(childId);
|
||||
// }
|
||||
// }
|
||||
// };
|
||||
|
||||
// const triggerDeleteMessageRecursive = async (messageId: string) => {
|
||||
// await deleteMessageAndDescendants(messageId);
|
||||
// await updateChatById(localStorage.token, chatId, { history });
|
||||
// await chats.set(await getChatList(localStorage.token));
|
||||
// };
|
||||
|
||||
const messageDeleteHandler = async (messageId) => {
|
||||
if (history.messages[messageId]) {
|
||||
history.messages[messageId].deleted = true;
|
||||
|
||||
for (const childId of history.messages[messageId].childrenIds) {
|
||||
history.messages[childId].deleted = true;
|
||||
const messageToDelete = history.messages[messageId];
|
||||
const messageParentId = messageToDelete.parentId;
|
||||
const messageChildrenIds = messageToDelete.childrenIds ?? [];
|
||||
const hasSibling = messageChildrenIds.some(
|
||||
(childId) => history.messages[childId]?.childrenIds?.length > 0
|
||||
);
|
||||
messageChildrenIds.forEach((childId) => {
|
||||
const child = history.messages[childId];
|
||||
if (child && child.childrenIds) {
|
||||
if (child.childrenIds.length === 0 && !hasSibling) {
|
||||
// if last prompt/response pair
|
||||
history.messages[messageParentId].childrenIds = [];
|
||||
history.currentId = messageParentId;
|
||||
} else {
|
||||
child.childrenIds.forEach((grandChildId) => {
|
||||
if (history.messages[grandChildId]) {
|
||||
history.messages[grandChildId].parentId = messageParentId;
|
||||
history.messages[messageParentId].childrenIds.push(grandChildId);
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
await updateChatById(localStorage.token, chatId, { history });
|
||||
// remove response
|
||||
history.messages[messageParentId].childrenIds = history.messages[
|
||||
messageParentId
|
||||
].childrenIds.filter((id) => id !== childId);
|
||||
});
|
||||
// remove prompt
|
||||
history.messages[messageParentId].childrenIds = history.messages[
|
||||
messageParentId
|
||||
].childrenIds.filter((id) => id !== messageId);
|
||||
await updateChatById(localStorage.token, chatId, {
|
||||
messages: messages,
|
||||
history: history
|
||||
});
|
||||
};
|
||||
|
||||
// const messageDeleteHandler = async (messageId) => {
|
||||
// const message = history.messages[messageId];
|
||||
// const parentId = message.parentId;
|
||||
// const childrenIds = message.childrenIds ?? [];
|
||||
// const grandchildrenIds = [];
|
||||
|
||||
// // Iterate through childrenIds to find grandchildrenIds
|
||||
// for (const childId of childrenIds) {
|
||||
// const childMessage = history.messages[childId];
|
||||
// const grandChildrenIds = childMessage.childrenIds ?? [];
|
||||
|
||||
// for (const grandchildId of grandchildrenIds) {
|
||||
// const childMessage = history.messages[grandchildId];
|
||||
// childMessage.parentId = parentId;
|
||||
// }
|
||||
// grandchildrenIds.push(...grandChildrenIds);
|
||||
// }
|
||||
|
||||
// history.messages[parentId].childrenIds.push(...grandchildrenIds);
|
||||
// history.messages[parentId].childrenIds = history.messages[parentId].childrenIds.filter(
|
||||
// (id) => id !== messageId
|
||||
// );
|
||||
|
||||
// // Select latest message
|
||||
// let currentMessageId = grandchildrenIds.at(-1);
|
||||
// if (currentMessageId) {
|
||||
// let messageChildrenIds = history.messages[currentMessageId].childrenIds;
|
||||
// while (messageChildrenIds.length !== 0) {
|
||||
// currentMessageId = messageChildrenIds.at(-1);
|
||||
// messageChildrenIds = history.messages[currentMessageId].childrenIds;
|
||||
// }
|
||||
// history.currentId = currentMessageId;
|
||||
// }
|
||||
|
||||
// await updateChatById(localStorage.token, chatId, { messages, history });
|
||||
// };
|
||||
</script>
|
||||
|
||||
{#if messages.length == 0}
|
||||
@@ -258,57 +305,55 @@
|
||||
<div class=" pb-10">
|
||||
{#key chatId}
|
||||
{#each messages as message, messageIdx}
|
||||
{#if !message.deleted}
|
||||
<div class=" w-full">
|
||||
<div
|
||||
class="flex flex-col justify-between px-5 mb-3 {$settings?.fullScreenMode ?? null
|
||||
? 'max-w-full'
|
||||
: 'max-w-3xl'} mx-auto rounded-lg group"
|
||||
>
|
||||
{#if message.role === 'user'}
|
||||
<UserMessage
|
||||
on:delete={() => messageDeleteHandler(message.id)}
|
||||
user={$user}
|
||||
{message}
|
||||
isFirstMessage={messageIdx === 0}
|
||||
siblings={message.parentId !== null
|
||||
? history.messages[message.parentId]?.childrenIds ?? []
|
||||
: Object.values(history.messages)
|
||||
.filter((message) => message.parentId === null)
|
||||
.map((message) => message.id) ?? []}
|
||||
{confirmEditMessage}
|
||||
{showPreviousMessage}
|
||||
{showNextMessage}
|
||||
{copyToClipboard}
|
||||
/>
|
||||
{:else}
|
||||
<ResponseMessage
|
||||
{message}
|
||||
modelfiles={selectedModelfiles}
|
||||
siblings={history.messages[message.parentId]?.childrenIds ?? []}
|
||||
isLastMessage={messageIdx + 1 === messages.length}
|
||||
{confirmEditResponseMessage}
|
||||
{showPreviousMessage}
|
||||
{showNextMessage}
|
||||
{rateMessage}
|
||||
{copyToClipboard}
|
||||
{continueGeneration}
|
||||
{regenerateResponse}
|
||||
on:save={async (e) => {
|
||||
console.log('save', e);
|
||||
<div class=" w-full">
|
||||
<div
|
||||
class="flex flex-col justify-between px-5 mb-3 {$settings?.fullScreenMode ?? null
|
||||
? 'max-w-full'
|
||||
: 'max-w-3xl'} mx-auto rounded-lg group"
|
||||
>
|
||||
{#if message.role === 'user'}
|
||||
<UserMessage
|
||||
on:delete={() => messageDeleteHandler(message.id)}
|
||||
user={$user}
|
||||
{message}
|
||||
isFirstMessage={messageIdx === 0}
|
||||
siblings={message.parentId !== null
|
||||
? history.messages[message.parentId]?.childrenIds ?? []
|
||||
: Object.values(history.messages)
|
||||
.filter((message) => message.parentId === null)
|
||||
.map((message) => message.id) ?? []}
|
||||
{confirmEditMessage}
|
||||
{showPreviousMessage}
|
||||
{showNextMessage}
|
||||
{copyToClipboard}
|
||||
/>
|
||||
{:else}
|
||||
<ResponseMessage
|
||||
{message}
|
||||
modelfiles={selectedModelfiles}
|
||||
siblings={history.messages[message.parentId]?.childrenIds ?? []}
|
||||
isLastMessage={messageIdx + 1 === messages.length}
|
||||
{confirmEditResponseMessage}
|
||||
{showPreviousMessage}
|
||||
{showNextMessage}
|
||||
{rateMessage}
|
||||
{copyToClipboard}
|
||||
{continueGeneration}
|
||||
{regenerateResponse}
|
||||
on:save={async (e) => {
|
||||
console.log('save', e);
|
||||
|
||||
const message = e.detail;
|
||||
history.messages[message.id] = message;
|
||||
await updateChatById(localStorage.token, chatId, {
|
||||
messages: messages,
|
||||
history: history
|
||||
});
|
||||
}}
|
||||
/>
|
||||
{/if}
|
||||
</div>
|
||||
const message = e.detail;
|
||||
history.messages[message.id] = message;
|
||||
await updateChatById(localStorage.token, chatId, {
|
||||
messages: messages,
|
||||
history: history
|
||||
});
|
||||
}}
|
||||
/>
|
||||
{/if}
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
{/each}
|
||||
|
||||
{#if bottomPadding}
|
||||
|
||||
@@ -6,6 +6,7 @@
|
||||
import auto_render from 'katex/dist/contrib/auto-render.mjs';
|
||||
import 'katex/dist/katex.min.css';
|
||||
|
||||
import { fade } from 'svelte/transition';
|
||||
import { createEventDispatcher } from 'svelte';
|
||||
import { onMount, tick } from 'svelte';
|
||||
|
||||
@@ -22,6 +23,7 @@
|
||||
import CodeBlock from './CodeBlock.svelte';
|
||||
import Image from '$lib/components/common/Image.svelte';
|
||||
import { WEBUI_BASE_URL } from '$lib/constants';
|
||||
import Tooltip from '$lib/components/common/Tooltip.svelte';
|
||||
|
||||
export let modelfiles = [];
|
||||
export let message;
|
||||
@@ -40,7 +42,7 @@
|
||||
|
||||
let edit = false;
|
||||
let editedContent = '';
|
||||
|
||||
let editTextAreaElement: HTMLTextAreaElement;
|
||||
let tooltipInstance = null;
|
||||
|
||||
let sentencesAudio = {};
|
||||
@@ -247,10 +249,9 @@
|
||||
editedContent = message.content;
|
||||
|
||||
await tick();
|
||||
const editElement = document.getElementById(`message-edit-${message.id}`);
|
||||
|
||||
editElement.style.height = '';
|
||||
editElement.style.height = `${editElement.scrollHeight}px`;
|
||||
editTextAreaElement.style.height = '';
|
||||
editTextAreaElement.style.height = `${editTextAreaElement.scrollHeight}px`;
|
||||
};
|
||||
|
||||
const editMessageConfirmHandler = async () => {
|
||||
@@ -276,13 +277,15 @@
|
||||
|
||||
const generateImage = async (message) => {
|
||||
generatingImage = true;
|
||||
const res = await imageGenerations(localStorage.token, message.content);
|
||||
const res = await imageGenerations(localStorage.token, message.content).catch((error) => {
|
||||
toast.error(error);
|
||||
});
|
||||
console.log(res);
|
||||
|
||||
if (res) {
|
||||
message.files = res.images.map((image) => ({
|
||||
message.files = res.map((image) => ({
|
||||
type: 'image',
|
||||
url: `data:image/png;base64,${image}`
|
||||
url: `${image.url}`
|
||||
}));
|
||||
|
||||
dispatch('save', message);
|
||||
@@ -341,9 +344,11 @@
|
||||
<div class=" w-full">
|
||||
<textarea
|
||||
id="message-edit-{message.id}"
|
||||
bind:this={editTextAreaElement}
|
||||
class=" bg-transparent outline-none w-full resize-none"
|
||||
bind:value={editedContent}
|
||||
on:input={(e) => {
|
||||
e.target.style.height = '';
|
||||
e.target.style.height = `${e.target.scrollHeight}px`;
|
||||
}}
|
||||
/>
|
||||
@@ -462,189 +467,125 @@
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<button
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
editMessageHandler();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M16.862 4.487l1.687-1.688a1.875 1.875 0 112.652 2.652L6.832 19.82a4.5 4.5 0 01-1.897 1.13l-2.685.8.8-2.685a4.5 4.5 0 011.13-1.897L16.863 4.487zm0 0L19.5 7.125"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
|
||||
<button
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition copy-response-button"
|
||||
on:click={() => {
|
||||
copyToClipboard(message.content);
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M15.666 3.888A2.25 2.25 0 0013.5 2.25h-3c-1.03 0-1.9.693-2.166 1.638m7.332 0c.055.194.084.4.084.612v0a.75.75 0 01-.75.75H9a.75.75 0 01-.75-.75v0c0-.212.03-.418.084-.612m7.332 0c.646.049 1.288.11 1.927.184 1.1.128 1.907 1.077 1.907 2.185V19.5a2.25 2.25 0 01-2.25 2.25H6.75A2.25 2.25 0 014.5 19.5V6.257c0-1.108.806-2.057 1.907-2.185a48.208 48.208 0 011.927-.184"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
|
||||
<button
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded {message.rating === 1
|
||||
? 'bg-gray-100 dark:bg-gray-800'
|
||||
: ''} dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
rateMessage(message.id, 1);
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
stroke="currentColor"
|
||||
fill="none"
|
||||
stroke-width="2"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
class="w-4 h-4"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
><path
|
||||
d="M14 9V5a3 3 0 0 0-3-3l-4 9v11h11.28a2 2 0 0 0 2-1.7l1.38-9a2 2 0 0 0-2-2.3zM7 22H4a2 2 0 0 1-2-2v-7a2 2 0 0 1 2-2h3"
|
||||
/></svg
|
||||
>
|
||||
</button>
|
||||
<button
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded {message.rating === -1
|
||||
? 'bg-gray-100 dark:bg-gray-800'
|
||||
: ''} dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
rateMessage(message.id, -1);
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
stroke="currentColor"
|
||||
fill="none"
|
||||
stroke-width="2"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
class="w-4 h-4"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
><path
|
||||
d="M10 15v4a3 3 0 0 0 3 3l4-9V2H5.72a2 2 0 0 0-2 1.7l-1.38 9a2 2 0 0 0 2 2.3zm7-13h2.67A2.31 2.31 0 0 1 22 4v7a2.31 2.31 0 0 1-2.33 2H17"
|
||||
/></svg
|
||||
>
|
||||
</button>
|
||||
|
||||
<button
|
||||
id="speak-button-{message.id}"
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
if (!loadingSpeech) {
|
||||
toggleSpeakMessage(message);
|
||||
}
|
||||
}}
|
||||
>
|
||||
{#if loadingSpeech}
|
||||
<svg
|
||||
class=" w-4 h-4"
|
||||
fill="currentColor"
|
||||
viewBox="0 0 24 24"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
><style>
|
||||
.spinner_S1WN {
|
||||
animation: spinner_MGfb 0.8s linear infinite;
|
||||
animation-delay: -0.8s;
|
||||
}
|
||||
.spinner_Km9P {
|
||||
animation-delay: -0.65s;
|
||||
}
|
||||
.spinner_JApP {
|
||||
animation-delay: -0.5s;
|
||||
}
|
||||
@keyframes spinner_MGfb {
|
||||
93.75%,
|
||||
100% {
|
||||
opacity: 0.2;
|
||||
}
|
||||
}
|
||||
</style><circle class="spinner_S1WN" cx="4" cy="12" r="3" /><circle
|
||||
class="spinner_S1WN spinner_Km9P"
|
||||
cx="12"
|
||||
cy="12"
|
||||
r="3"
|
||||
/><circle class="spinner_S1WN spinner_JApP" cx="20" cy="12" r="3" /></svg
|
||||
>
|
||||
{:else if speaking}
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M17.25 9.75 19.5 12m0 0 2.25 2.25M19.5 12l2.25-2.25M19.5 12l-2.25 2.25m-10.5-6 4.72-4.72a.75.75 0 0 1 1.28.53v15.88a.75.75 0 0 1-1.28.53l-4.72-4.72H4.51c-.88 0-1.704-.507-1.938-1.354A9.009 9.009 0 0 1 2.25 12c0-.83.112-1.633.322-2.396C2.806 8.756 3.63 8.25 4.51 8.25H6.75Z"
|
||||
/>
|
||||
</svg>
|
||||
{:else}
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M19.114 5.636a9 9 0 010 12.728M16.463 8.288a5.25 5.25 0 010 7.424M6.75 8.25l4.72-4.72a.75.75 0 011.28.53v15.88a.75.75 0 01-1.28.53l-4.72-4.72H4.51c-.88 0-1.704-.507-1.938-1.354A9.01 9.01 0 012.25 12c0-.83.112-1.633.322-2.396C2.806 8.756 3.63 8.25 4.51 8.25H6.75z"
|
||||
/>
|
||||
</svg>
|
||||
{/if}
|
||||
</button>
|
||||
|
||||
{#if $config.images}
|
||||
<Tooltip content="Edit" placement="bottom">
|
||||
<button
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
if (!generatingImage) {
|
||||
generateImage(message);
|
||||
editMessageHandler();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M16.862 4.487l1.687-1.688a1.875 1.875 0 112.652 2.652L6.832 19.82a4.5 4.5 0 01-1.897 1.13l-2.685.8.8-2.685a4.5 4.5 0 011.13-1.897L16.863 4.487zm0 0L19.5 7.125"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</Tooltip>
|
||||
|
||||
<Tooltip content="Copy" placement="bottom">
|
||||
<button
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition copy-response-button"
|
||||
on:click={() => {
|
||||
copyToClipboard(message.content);
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M15.666 3.888A2.25 2.25 0 0013.5 2.25h-3c-1.03 0-1.9.693-2.166 1.638m7.332 0c.055.194.084.4.084.612v0a.75.75 0 01-.75.75H9a.75.75 0 01-.75-.75v0c0-.212.03-.418.084-.612m7.332 0c.646.049 1.288.11 1.927.184 1.1.128 1.907 1.077 1.907 2.185V19.5a2.25 2.25 0 01-2.25 2.25H6.75A2.25 2.25 0 014.5 19.5V6.257c0-1.108.806-2.057 1.907-2.185a48.208 48.208 0 011.927-.184"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</Tooltip>
|
||||
|
||||
<Tooltip content="Good Response" placement="bottom">
|
||||
<button
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded {message.rating === 1
|
||||
? 'bg-gray-100 dark:bg-gray-800'
|
||||
: ''} dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
rateMessage(message.id, 1);
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
stroke="currentColor"
|
||||
fill="none"
|
||||
stroke-width="2"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
class="w-4 h-4"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
><path
|
||||
d="M14 9V5a3 3 0 0 0-3-3l-4 9v11h11.28a2 2 0 0 0 2-1.7l1.38-9a2 2 0 0 0-2-2.3zM7 22H4a2 2 0 0 1-2-2v-7a2 2 0 0 1 2-2h3"
|
||||
/></svg
|
||||
>
|
||||
</button>
|
||||
</Tooltip>
|
||||
|
||||
<Tooltip content="Bad Response" placement="bottom">
|
||||
<button
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded {message.rating === -1
|
||||
? 'bg-gray-100 dark:bg-gray-800'
|
||||
: ''} dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
rateMessage(message.id, -1);
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
stroke="currentColor"
|
||||
fill="none"
|
||||
stroke-width="2"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
class="w-4 h-4"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
><path
|
||||
d="M10 15v4a3 3 0 0 0 3 3l4-9V2H5.72a2 2 0 0 0-2 1.7l-1.38 9a2 2 0 0 0 2 2.3zm7-13h2.67A2.31 2.31 0 0 1 22 4v7a2.31 2.31 0 0 1-2.33 2H17"
|
||||
/></svg
|
||||
>
|
||||
</button>
|
||||
</Tooltip>
|
||||
|
||||
<Tooltip content="Read Aloud" placement="bottom">
|
||||
<button
|
||||
id="speak-button-{message.id}"
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
if (!loadingSpeech) {
|
||||
toggleSpeakMessage(message);
|
||||
}
|
||||
}}
|
||||
>
|
||||
{#if generatingImage}
|
||||
{#if loadingSpeech}
|
||||
<svg
|
||||
class=" w-4 h-4"
|
||||
fill="currentColor"
|
||||
@@ -679,105 +620,193 @@
|
||||
r="3"
|
||||
/></svg
|
||||
>
|
||||
{:else}
|
||||
{:else if speaking}
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="m2.25 15.75 5.159-5.159a2.25 2.25 0 0 1 3.182 0l5.159 5.159m-1.5-1.5 1.409-1.409a2.25 2.25 0 0 1 3.182 0l2.909 2.909m-18 3.75h16.5a1.5 1.5 0 0 0 1.5-1.5V6a1.5 1.5 0 0 0-1.5-1.5H3.75A1.5 1.5 0 0 0 2.25 6v12a1.5 1.5 0 0 0 1.5 1.5Zm10.5-11.25h.008v.008h-.008V8.25Zm.375 0a.375.375 0 1 1-.75 0 .375.375 0 0 1 .75 0Z"
|
||||
d="M17.25 9.75 19.5 12m0 0 2.25 2.25M19.5 12l2.25-2.25M19.5 12l-2.25 2.25m-10.5-6 4.72-4.72a.75.75 0 0 1 1.28.53v15.88a.75.75 0 0 1-1.28.53l-4.72-4.72H4.51c-.88 0-1.704-.507-1.938-1.354A9.009 9.009 0 0 1 2.25 12c0-.83.112-1.633.322-2.396C2.806 8.756 3.63 8.25 4.51 8.25H6.75Z"
|
||||
/>
|
||||
</svg>
|
||||
{:else}
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M19.114 5.636a9 9 0 010 12.728M16.463 8.288a5.25 5.25 0 010 7.424M6.75 8.25l4.72-4.72a.75.75 0 011.28.53v15.88a.75.75 0 01-1.28.53l-4.72-4.72H4.51c-.88 0-1.704-.507-1.938-1.354A9.01 9.01 0 012.25 12c0-.83.112-1.633.322-2.396C2.806 8.756 3.63 8.25 4.51 8.25H6.75z"
|
||||
/>
|
||||
</svg>
|
||||
{/if}
|
||||
</button>
|
||||
</Tooltip>
|
||||
|
||||
{#if $config.images}
|
||||
<Tooltip content="Generate Image" placement="bottom">
|
||||
<button
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
if (!generatingImage) {
|
||||
generateImage(message);
|
||||
}
|
||||
}}
|
||||
>
|
||||
{#if generatingImage}
|
||||
<svg
|
||||
class=" w-4 h-4"
|
||||
fill="currentColor"
|
||||
viewBox="0 0 24 24"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
><style>
|
||||
.spinner_S1WN {
|
||||
animation: spinner_MGfb 0.8s linear infinite;
|
||||
animation-delay: -0.8s;
|
||||
}
|
||||
.spinner_Km9P {
|
||||
animation-delay: -0.65s;
|
||||
}
|
||||
.spinner_JApP {
|
||||
animation-delay: -0.5s;
|
||||
}
|
||||
@keyframes spinner_MGfb {
|
||||
93.75%,
|
||||
100% {
|
||||
opacity: 0.2;
|
||||
}
|
||||
}
|
||||
</style><circle class="spinner_S1WN" cx="4" cy="12" r="3" /><circle
|
||||
class="spinner_S1WN spinner_Km9P"
|
||||
cx="12"
|
||||
cy="12"
|
||||
r="3"
|
||||
/><circle
|
||||
class="spinner_S1WN spinner_JApP"
|
||||
cx="20"
|
||||
cy="12"
|
||||
r="3"
|
||||
/></svg
|
||||
>
|
||||
{:else}
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="m2.25 15.75 5.159-5.159a2.25 2.25 0 0 1 3.182 0l5.159 5.159m-1.5-1.5 1.409-1.409a2.25 2.25 0 0 1 3.182 0l2.909 2.909m-18 3.75h16.5a1.5 1.5 0 0 0 1.5-1.5V6a1.5 1.5 0 0 0-1.5-1.5H3.75A1.5 1.5 0 0 0 2.25 6v12a1.5 1.5 0 0 0 1.5 1.5Zm10.5-11.25h.008v.008h-.008V8.25Zm.375 0a.375.375 0 1 1-.75 0 .375.375 0 0 1 .75 0Z"
|
||||
/>
|
||||
</svg>
|
||||
{/if}
|
||||
</button>
|
||||
</Tooltip>
|
||||
{/if}
|
||||
|
||||
{#if message.info}
|
||||
<button
|
||||
class=" {isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition whitespace-pre-wrap"
|
||||
on:click={() => {
|
||||
console.log(message);
|
||||
}}
|
||||
id="info-{message.id}"
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
<Tooltip content="Generation Info" placement="bottom">
|
||||
<button
|
||||
class=" {isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition whitespace-pre-wrap"
|
||||
on:click={() => {
|
||||
console.log(message);
|
||||
}}
|
||||
id="info-{message.id}"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M11.25 11.25l.041-.02a.75.75 0 011.063.852l-.708 2.836a.75.75 0 001.063.853l.041-.021M21 12a9 9 0 11-18 0 9 9 0 0118 0zm-9-3.75h.008v.008H12V8.25z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M11.25 11.25l.041-.02a.75.75 0 011.063.852l-.708 2.836a.75.75 0 001.063.853l.041-.021M21 12a9 9 0 11-18 0 9 9 0 0118 0zm-9-3.75h.008v.008H12V8.25z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</Tooltip>
|
||||
{/if}
|
||||
|
||||
{#if isLastMessage}
|
||||
<button
|
||||
type="button"
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition regenerate-response-button"
|
||||
on:click={() => {
|
||||
continueGeneration();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
<Tooltip content="Continue Response" placement="bottom">
|
||||
<button
|
||||
type="button"
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition regenerate-response-button"
|
||||
on:click={() => {
|
||||
continueGeneration();
|
||||
}}
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M21 12a9 9 0 1 1-18 0 9 9 0 0 1 18 0Z"
|
||||
/>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M15.91 11.672a.375.375 0 0 1 0 .656l-5.603 3.113a.375.375 0 0 1-.557-.328V8.887c0-.286.307-.466.557-.327l5.603 3.112Z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M21 12a9 9 0 1 1-18 0 9 9 0 0 1 18 0Z"
|
||||
/>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M15.91 11.672a.375.375 0 0 1 0 .656l-5.603 3.113a.375.375 0 0 1-.557-.328V8.887c0-.286.307-.466.557-.327l5.603 3.112Z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</Tooltip>
|
||||
|
||||
<button
|
||||
type="button"
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition regenerate-response-button"
|
||||
on:click={regenerateResponse}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
<Tooltip content="Regenerate" placement="bottom">
|
||||
<button
|
||||
type="button"
|
||||
class="{isLastMessage
|
||||
? 'visible'
|
||||
: 'invisible group-hover:visible'} p-1 rounded dark:hover:text-white hover:text-black transition regenerate-response-button"
|
||||
on:click={regenerateResponse}
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M16.023 9.348h4.992v-.001M2.985 19.644v-4.992m0 0h4.992m-4.993 0l3.181 3.183a8.25 8.25 0 0013.803-3.7M4.031 9.865a8.25 8.25 0 0113.803-3.7l3.181 3.182m0-4.991v4.99"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M16.023 9.348h4.992v-.001M2.985 19.644v-4.992m0 0h4.992m-4.993 0l3.181 3.183a8.25 8.25 0 0013.803-3.7M4.031 9.865a8.25 8.25 0 0113.803-3.7l3.181 3.182m0-4.991v4.99"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</Tooltip>
|
||||
{/if}
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
@@ -5,6 +5,7 @@
|
||||
import Name from './Name.svelte';
|
||||
import ProfileImage from './ProfileImage.svelte';
|
||||
import { modelfiles, settings } from '$lib/stores';
|
||||
import Tooltip from '$lib/components/common/Tooltip.svelte';
|
||||
|
||||
const dispatch = createEventDispatcher();
|
||||
|
||||
@@ -20,18 +21,17 @@
|
||||
|
||||
let edit = false;
|
||||
let editedContent = '';
|
||||
|
||||
let messageEditTextAreaElement: HTMLTextAreaElement;
|
||||
const editMessageHandler = async () => {
|
||||
edit = true;
|
||||
editedContent = message.content;
|
||||
|
||||
await tick();
|
||||
const editElement = document.getElementById(`message-edit-${message.id}`);
|
||||
|
||||
editElement.style.height = '';
|
||||
editElement.style.height = `${editElement.scrollHeight}px`;
|
||||
messageEditTextAreaElement.style.height = '';
|
||||
messageEditTextAreaElement.style.height = `${messageEditTextAreaElement.scrollHeight}px`;
|
||||
|
||||
editElement?.focus();
|
||||
messageEditTextAreaElement?.focus();
|
||||
};
|
||||
|
||||
const editMessageConfirmHandler = async () => {
|
||||
@@ -165,9 +165,11 @@
|
||||
<div class=" w-full">
|
||||
<textarea
|
||||
id="message-edit-{message.id}"
|
||||
bind:this={messageEditTextAreaElement}
|
||||
class=" bg-transparent outline-none w-full resize-none"
|
||||
bind:value={editedContent}
|
||||
on:input={(e) => {
|
||||
e.target.style.height = '';
|
||||
e.target.style.height = `${e.target.scrollHeight}px`;
|
||||
}}
|
||||
/>
|
||||
@@ -245,72 +247,78 @@
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<button
|
||||
class="invisible group-hover:visible p-1 rounded dark:hover:text-white hover:text-black transition edit-user-message-button"
|
||||
on:click={() => {
|
||||
editMessageHandler();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M16.862 4.487l1.687-1.688a1.875 1.875 0 112.652 2.652L6.832 19.82a4.5 4.5 0 01-1.897 1.13l-2.685.8.8-2.685a4.5 4.5 0 011.13-1.897L16.863 4.487zm0 0L19.5 7.125"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
|
||||
<button
|
||||
class="invisible group-hover:visible p-1 rounded dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
copyToClipboard(message.content);
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M15.666 3.888A2.25 2.25 0 0013.5 2.25h-3c-1.03 0-1.9.693-2.166 1.638m7.332 0c.055.194.084.4.084.612v0a.75.75 0 01-.75.75H9a.75.75 0 01-.75-.75v0c0-.212.03-.418.084-.612m7.332 0c.646.049 1.288.11 1.927.184 1.1.128 1.907 1.077 1.907 2.185V19.5a2.25 2.25 0 01-2.25 2.25H6.75A2.25 2.25 0 014.5 19.5V6.257c0-1.108.806-2.057 1.907-2.185a48.208 48.208 0 011.927-.184"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
|
||||
{#if !isFirstMessage}
|
||||
<Tooltip content="Edit" placement="bottom">
|
||||
<button
|
||||
class="invisible group-hover:visible p-1 rounded dark:hover:text-white hover:text-black transition"
|
||||
class="invisible group-hover:visible p-1 rounded dark:hover:text-white hover:text-black transition edit-user-message-button"
|
||||
on:click={() => {
|
||||
deleteMessageHandler();
|
||||
editMessageHandler();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="1.5"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="m14.74 9-.346 9m-4.788 0L9.26 9m9.968-3.21c.342.052.682.107 1.022.166m-1.022-.165L18.16 19.673a2.25 2.25 0 0 1-2.244 2.077H8.084a2.25 2.25 0 0 1-2.244-2.077L4.772 5.79m14.456 0a48.108 48.108 0 0 0-3.478-.397m-12 .562c.34-.059.68-.114 1.022-.165m0 0a48.11 48.11 0 0 1 3.478-.397m7.5 0v-.916c0-1.18-.91-2.164-2.09-2.201a51.964 51.964 0 0 0-3.32 0c-1.18.037-2.09 1.022-2.09 2.201v.916m7.5 0a48.667 48.667 0 0 0-7.5 0"
|
||||
d="M16.862 4.487l1.687-1.688a1.875 1.875 0 112.652 2.652L6.832 19.82a4.5 4.5 0 01-1.897 1.13l-2.685.8.8-2.685a4.5 4.5 0 011.13-1.897L16.863 4.487zm0 0L19.5 7.125"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</Tooltip>
|
||||
|
||||
<Tooltip content="Copy" placement="bottom">
|
||||
<button
|
||||
class="invisible group-hover:visible p-1 rounded dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
copyToClipboard(message.content);
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="M15.666 3.888A2.25 2.25 0 0013.5 2.25h-3c-1.03 0-1.9.693-2.166 1.638m7.332 0c.055.194.084.4.084.612v0a.75.75 0 01-.75.75H9a.75.75 0 01-.75-.75v0c0-.212.03-.418.084-.612m7.332 0c.646.049 1.288.11 1.927.184 1.1.128 1.907 1.077 1.907 2.185V19.5a2.25 2.25 0 01-2.25 2.25H6.75A2.25 2.25 0 014.5 19.5V6.257c0-1.108.806-2.057 1.907-2.185a48.208 48.208 0 011.927-.184"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</Tooltip>
|
||||
|
||||
{#if !isFirstMessage}
|
||||
<Tooltip content="Delete" placement="bottom">
|
||||
<button
|
||||
class="invisible group-hover:visible p-1 rounded dark:hover:text-white hover:text-black transition"
|
||||
on:click={() => {
|
||||
deleteMessageHandler();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke-width="2"
|
||||
stroke="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
d="m14.74 9-.346 9m-4.788 0L9.26 9m9.968-3.21c.342.052.682.107 1.022.166m-1.022-.165L18.16 19.673a2.25 2.25 0 0 1-2.244 2.077H8.084a2.25 2.25 0 0 1-2.244-2.077L4.772 5.79m14.456 0a48.108 48.108 0 0 0-3.478-.397m-12 .562c.34-.059.68-.114 1.022-.165m0 0a48.11 48.11 0 0 1 3.478-.397m7.5 0v-.916c0-1.18-.91-2.164-2.09-2.201a51.964 51.964 0 0 0-3.32 0c-1.18.037-2.09 1.022-2.09 2.201v.916m7.5 0a48.667 48.667 0 0 0-7.5 0"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</Tooltip>
|
||||
{/if}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -15,6 +15,7 @@
|
||||
let name = '';
|
||||
let showJWTToken = false;
|
||||
let JWTTokenCopied = false;
|
||||
let profileImageInputElement: HTMLInputElement;
|
||||
|
||||
const submitHandler = async () => {
|
||||
const updatedUser = await updateUserProfile(localStorage.token, name, profileImageUrl).catch(
|
||||
@@ -40,11 +41,12 @@
|
||||
<div class=" space-y-3 pr-1.5 overflow-y-scroll max-h-80">
|
||||
<input
|
||||
id="profile-image-input"
|
||||
bind:this={profileImageInputElement}
|
||||
type="file"
|
||||
hidden
|
||||
accept="image/*"
|
||||
on:change={(e) => {
|
||||
const files = e?.target?.files ?? [];
|
||||
const files = profileImageInputElement.files ?? [];
|
||||
let reader = new FileReader();
|
||||
reader.onload = (event) => {
|
||||
let originalImageUrl = `${event.target.result}`;
|
||||
@@ -86,7 +88,7 @@
|
||||
// Display the compressed image
|
||||
profileImageUrl = compressedSrc;
|
||||
|
||||
e.target.files = null;
|
||||
profileImageInputElement.files = null;
|
||||
};
|
||||
};
|
||||
|
||||
@@ -108,7 +110,7 @@
|
||||
class="relative rounded-full dark:bg-gray-700"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
document.getElementById('profile-image-input')?.click();
|
||||
profileImageInputElement.click();
|
||||
}}
|
||||
>
|
||||
<img
|
||||
@@ -269,7 +271,7 @@
|
||||
|
||||
<div class="flex justify-end pt-3 text-sm font-medium">
|
||||
<button
|
||||
class=" px-4 py-2 bg-emerald-600 hover:bg-emerald-700 text-gray-100 transition rounded"
|
||||
class=" px-4 py-2 bg-emerald-700 hover:bg-emerald-800 text-gray-100 transition rounded-lg"
|
||||
on:click={async () => {
|
||||
const res = await submitHandler();
|
||||
|
||||
|
||||
@@ -251,7 +251,7 @@
|
||||
|
||||
<div class="flex justify-end pt-3 text-sm font-medium">
|
||||
<button
|
||||
class=" px-4 py-2 bg-emerald-600 hover:bg-emerald-700 text-gray-100 transition rounded"
|
||||
class=" px-4 py-2 bg-emerald-700 hover:bg-emerald-800 text-gray-100 transition rounded-lg"
|
||||
type="submit"
|
||||
>
|
||||
Save
|
||||
|
||||
@@ -22,6 +22,7 @@
|
||||
let saveChatHistory = true;
|
||||
let importFiles;
|
||||
let showDeleteConfirm = false;
|
||||
let chatImportInputElement: HTMLInputElement;
|
||||
|
||||
$: if (importFiles) {
|
||||
console.log(importFiles);
|
||||
@@ -159,11 +160,18 @@
|
||||
<hr class=" dark:border-gray-700" />
|
||||
|
||||
<div class="flex flex-col">
|
||||
<input id="chat-import-input" bind:files={importFiles} type="file" accept=".json" hidden />
|
||||
<input
|
||||
id="chat-import-input"
|
||||
bind:this={chatImportInputElement}
|
||||
bind:files={importFiles}
|
||||
type="file"
|
||||
accept=".json"
|
||||
hidden
|
||||
/>
|
||||
<button
|
||||
class=" flex rounded-md py-2 px-3.5 w-full hover:bg-gray-200 dark:hover:bg-gray-800 transition"
|
||||
on:click={() => {
|
||||
document.getElementById('chat-import-input').click();
|
||||
chatImportInputElement.click();
|
||||
}}
|
||||
>
|
||||
<div class=" self-center mr-3">
|
||||
|
||||
@@ -3,30 +3,38 @@
|
||||
import { createEventDispatcher, onMount } from 'svelte';
|
||||
const dispatch = createEventDispatcher();
|
||||
|
||||
import { getOllamaAPIUrl, getOllamaVersion, updateOllamaAPIUrl } from '$lib/apis/ollama';
|
||||
import { getOpenAIKey, getOpenAIUrl, updateOpenAIKey, updateOpenAIUrl } from '$lib/apis/openai';
|
||||
import { getOllamaUrls, getOllamaVersion, updateOllamaUrls } from '$lib/apis/ollama';
|
||||
import {
|
||||
getOpenAIKeys,
|
||||
getOpenAIUrls,
|
||||
updateOpenAIKeys,
|
||||
updateOpenAIUrls
|
||||
} from '$lib/apis/openai';
|
||||
import { toast } from 'svelte-sonner';
|
||||
|
||||
export let getModels: Function;
|
||||
|
||||
// External
|
||||
let API_BASE_URL = '';
|
||||
let OLLAMA_BASE_URL = '';
|
||||
let OLLAMA_BASE_URLS = [''];
|
||||
|
||||
let OPENAI_API_KEY = '';
|
||||
let OPENAI_API_BASE_URL = '';
|
||||
|
||||
let OPENAI_API_KEYS = [''];
|
||||
let OPENAI_API_BASE_URLS = [''];
|
||||
|
||||
let showOpenAI = false;
|
||||
let showLiteLLM = false;
|
||||
|
||||
const updateOpenAIHandler = async () => {
|
||||
OPENAI_API_BASE_URL = await updateOpenAIUrl(localStorage.token, OPENAI_API_BASE_URL);
|
||||
OPENAI_API_KEY = await updateOpenAIKey(localStorage.token, OPENAI_API_KEY);
|
||||
OPENAI_API_BASE_URLS = await updateOpenAIUrls(localStorage.token, OPENAI_API_BASE_URLS);
|
||||
OPENAI_API_KEYS = await updateOpenAIKeys(localStorage.token, OPENAI_API_KEYS);
|
||||
|
||||
await models.set(await getModels());
|
||||
};
|
||||
|
||||
const updateOllamaAPIUrlHandler = async () => {
|
||||
API_BASE_URL = await updateOllamaAPIUrl(localStorage.token, API_BASE_URL);
|
||||
const updateOllamaUrlsHandler = async () => {
|
||||
OLLAMA_BASE_URLS = await updateOllamaUrls(localStorage.token, OLLAMA_BASE_URLS);
|
||||
|
||||
const ollamaVersion = await getOllamaVersion(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
@@ -41,9 +49,9 @@
|
||||
|
||||
onMount(async () => {
|
||||
if ($user.role === 'admin') {
|
||||
API_BASE_URL = await getOllamaAPIUrl(localStorage.token);
|
||||
OPENAI_API_BASE_URL = await getOpenAIUrl(localStorage.token);
|
||||
OPENAI_API_KEY = await getOpenAIKey(localStorage.token);
|
||||
OLLAMA_BASE_URLS = await getOllamaUrls(localStorage.token);
|
||||
OPENAI_API_BASE_URLS = await getOpenAIUrls(localStorage.token);
|
||||
OPENAI_API_KEYS = await getOpenAIKeys(localStorage.token);
|
||||
}
|
||||
});
|
||||
</script>
|
||||
@@ -53,11 +61,6 @@
|
||||
on:submit|preventDefault={() => {
|
||||
updateOpenAIHandler();
|
||||
dispatch('save');
|
||||
|
||||
// saveSettings({
|
||||
// OPENAI_API_KEY: OPENAI_API_KEY !== '' ? OPENAI_API_KEY : undefined,
|
||||
// OPENAI_API_BASE_URL: OPENAI_API_BASE_URL !== '' ? OPENAI_API_BASE_URL : undefined
|
||||
// });
|
||||
}}
|
||||
>
|
||||
<div class=" pr-1.5 overflow-y-scroll max-h-[20.5rem] space-y-3">
|
||||
@@ -75,37 +78,74 @@
|
||||
</div>
|
||||
|
||||
{#if showOpenAI}
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">API Key</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1">
|
||||
<input
|
||||
class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
|
||||
placeholder="Enter OpenAI API Key"
|
||||
bind:value={OPENAI_API_KEY}
|
||||
autocomplete="off"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="flex flex-col gap-1">
|
||||
{#each OPENAI_API_BASE_URLS as url, idx}
|
||||
<div class="flex w-full gap-2">
|
||||
<div class="flex-1">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder="API Base URL"
|
||||
bind:value={url}
|
||||
autocomplete="off"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">API Base URL</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1">
|
||||
<input
|
||||
class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
|
||||
placeholder="Enter OpenAI API Base URL"
|
||||
bind:value={OPENAI_API_BASE_URL}
|
||||
autocomplete="off"
|
||||
/>
|
||||
<div class="flex-1">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder="API Key"
|
||||
bind:value={OPENAI_API_KEYS[idx]}
|
||||
autocomplete="off"
|
||||
/>
|
||||
</div>
|
||||
<div class="self-center flex items-center">
|
||||
{#if idx === 0}
|
||||
<button
|
||||
class="px-1"
|
||||
on:click={() => {
|
||||
OPENAI_API_BASE_URLS = [...OPENAI_API_BASE_URLS, ''];
|
||||
OPENAI_API_KEYS = [...OPENAI_API_KEYS, ''];
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
d="M8.75 3.75a.75.75 0 0 0-1.5 0v3.5h-3.5a.75.75 0 0 0 0 1.5h3.5v3.5a.75.75 0 0 0 1.5 0v-3.5h3.5a.75.75 0 0 0 0-1.5h-3.5v-3.5Z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
{:else}
|
||||
<button
|
||||
class="px-1"
|
||||
on:click={() => {
|
||||
OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS.filter(
|
||||
(url, urlIdx) => idx !== urlIdx
|
||||
);
|
||||
OPENAI_API_KEYS = OPENAI_API_KEYS.filter((key, keyIdx) => idx !== keyIdx);
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path d="M3.75 7.25a.75.75 0 0 0 0 1.5h8.5a.75.75 0 0 0 0-1.5h-8.5Z" />
|
||||
</svg>
|
||||
</button>
|
||||
{/if}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
|
||||
WebUI will make requests to <span class=" text-gray-200"
|
||||
>'{OPENAI_API_BASE_URL}/chat'</span
|
||||
>
|
||||
</div>
|
||||
<div class=" mb-1 text-xs text-gray-400 dark:text-gray-500">
|
||||
WebUI will make requests to <span class=" text-gray-200">'{url}/models'</span>
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
@@ -115,34 +155,81 @@
|
||||
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">Ollama Base URL</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
|
||||
placeholder="Enter URL (e.g. http://localhost:11434)"
|
||||
bind:value={API_BASE_URL}
|
||||
/>
|
||||
<div class="flex w-full gap-1.5">
|
||||
<div class="flex-1 flex flex-col gap-2">
|
||||
{#each OLLAMA_BASE_URLS as url, idx}
|
||||
<div class="flex gap-1.5">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder="Enter URL (e.g. http://localhost:11434)"
|
||||
bind:value={url}
|
||||
/>
|
||||
|
||||
<div class="self-center flex items-center">
|
||||
{#if idx === 0}
|
||||
<button
|
||||
class="px-1"
|
||||
on:click={() => {
|
||||
OLLAMA_BASE_URLS = [...OLLAMA_BASE_URLS, ''];
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
d="M8.75 3.75a.75.75 0 0 0-1.5 0v3.5h-3.5a.75.75 0 0 0 0 1.5h3.5v3.5a.75.75 0 0 0 1.5 0v-3.5h3.5a.75.75 0 0 0 0-1.5h-3.5v-3.5Z"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
{:else}
|
||||
<button
|
||||
class="px-1"
|
||||
on:click={() => {
|
||||
OLLAMA_BASE_URLS = OLLAMA_BASE_URLS.filter((url, urlIdx) => idx !== urlIdx);
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path d="M3.75 7.25a.75.75 0 0 0 0 1.5h8.5a.75.75 0 0 0 0-1.5h-8.5Z" />
|
||||
</svg>
|
||||
</button>
|
||||
{/if}
|
||||
</div>
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
<button
|
||||
class="px-3 bg-gray-200 hover:bg-gray-300 dark:bg-gray-600 dark:hover:bg-gray-700 rounded transition"
|
||||
on:click={() => {
|
||||
updateOllamaAPIUrlHandler();
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
|
||||
<div class="">
|
||||
<button
|
||||
class="p-2.5 bg-gray-200 hover:bg-gray-300 dark:bg-gray-850 dark:hover:bg-gray-800 rounded-lg transition"
|
||||
on:click={() => {
|
||||
updateOllamaUrlsHandler();
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M15.312 11.424a5.5 5.5 0 01-9.201 2.466l-.312-.311h2.433a.75.75 0 000-1.5H3.989a.75.75 0 00-.75.75v4.242a.75.75 0 001.5 0v-2.43l.31.31a7 7 0 0011.712-3.138.75.75 0 00-1.449-.39zm1.23-3.723a.75.75 0 00.219-.53V2.929a.75.75 0 00-1.5 0V5.36l-.31-.31A7 7 0 003.239 8.188a.75.75 0 101.448.389A5.5 5.5 0 0113.89 6.11l.311.31h-2.432a.75.75 0 000 1.5h4.243a.75.75 0 00.53-.219z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M15.312 11.424a5.5 5.5 0 01-9.201 2.466l-.312-.311h2.433a.75.75 0 000-1.5H3.989a.75.75 0 00-.75.75v4.242a.75.75 0 001.5 0v-2.43l.31.31a7 7 0 0011.712-3.138.75.75 0 00-1.449-.39zm1.23-3.723a.75.75 0 00.219-.53V2.929a.75.75 0 00-1.5 0V5.36l-.31-.31A7 7 0 003.239 8.188a.75.75 0 101.448.389A5.5 5.5 0 0113.89 6.11l.311.31h-2.432a.75.75 0 000 1.5h4.243a.75.75 0 00.53-.219z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
|
||||
@@ -160,7 +247,7 @@
|
||||
|
||||
<div class="flex justify-end pt-3 text-sm font-medium">
|
||||
<button
|
||||
class=" px-4 py-2 bg-emerald-600 hover:bg-emerald-700 text-gray-100 transition rounded"
|
||||
class=" px-4 py-2 bg-emerald-700 hover:bg-emerald-800 text-gray-100 transition rounded-lg"
|
||||
type="submit"
|
||||
>
|
||||
Save
|
||||
|
||||
@@ -176,7 +176,7 @@
|
||||
<div class=" my-2.5 text-sm font-medium">System Prompt</div>
|
||||
<textarea
|
||||
bind:value={system}
|
||||
class="w-full rounded p-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none resize-none"
|
||||
class="w-full rounded-lg p-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none resize-none"
|
||||
rows="4"
|
||||
/>
|
||||
</div>
|
||||
@@ -262,7 +262,7 @@
|
||||
|
||||
<div class="flex justify-end pt-3 text-sm font-medium">
|
||||
<button
|
||||
class=" px-4 py-2 bg-emerald-600 hover:bg-emerald-700 text-gray-100 transition rounded"
|
||||
class=" px-4 py-2 bg-emerald-700 hover:bg-emerald-800 text-gray-100 transition rounded-lg"
|
||||
on:click={() => {
|
||||
saveSettings({
|
||||
system: system !== '' ? system : undefined,
|
||||
|
||||
@@ -5,16 +5,18 @@
|
||||
import { config, user } from '$lib/stores';
|
||||
import {
|
||||
getAUTOMATIC1111Url,
|
||||
getDefaultDiffusionModel,
|
||||
getDiffusionModels,
|
||||
getImageGenerationEnabledStatus,
|
||||
getImageGenerationModels,
|
||||
getDefaultImageGenerationModel,
|
||||
updateDefaultImageGenerationModel,
|
||||
getImageSize,
|
||||
toggleImageGenerationEnabledStatus,
|
||||
getImageGenerationConfig,
|
||||
updateImageGenerationConfig,
|
||||
updateAUTOMATIC1111Url,
|
||||
updateDefaultDiffusionModel,
|
||||
updateImageSize,
|
||||
getImageSteps,
|
||||
updateImageSteps
|
||||
updateImageSteps,
|
||||
getOpenAIKey,
|
||||
updateOpenAIKey
|
||||
} from '$lib/apis/images';
|
||||
import { getBackendConfig } from '$lib/apis';
|
||||
const dispatch = createEventDispatcher();
|
||||
@@ -23,8 +25,11 @@
|
||||
|
||||
let loading = false;
|
||||
|
||||
let imageGenerationEngine = '';
|
||||
let enableImageGeneration = false;
|
||||
|
||||
let AUTOMATIC1111_BASE_URL = '';
|
||||
let OPENAI_API_KEY = '';
|
||||
|
||||
let selectedModel = '';
|
||||
let models = null;
|
||||
@@ -33,11 +38,11 @@
|
||||
let steps = 50;
|
||||
|
||||
const getModels = async () => {
|
||||
models = await getDiffusionModels(localStorage.token).catch((error) => {
|
||||
models = await getImageGenerationModels(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
selectedModel = await getDefaultDiffusionModel(localStorage.token).catch((error) => {
|
||||
selectedModel = await getDefaultImageGenerationModel(localStorage.token).catch((error) => {
|
||||
return '';
|
||||
});
|
||||
};
|
||||
@@ -62,33 +67,45 @@
|
||||
AUTOMATIC1111_BASE_URL = await getAUTOMATIC1111Url(localStorage.token);
|
||||
}
|
||||
};
|
||||
const toggleImageGeneration = async () => {
|
||||
if (AUTOMATIC1111_BASE_URL) {
|
||||
enableImageGeneration = await toggleImageGenerationEnabledStatus(localStorage.token).catch(
|
||||
(error) => {
|
||||
toast.error(error);
|
||||
return false;
|
||||
}
|
||||
);
|
||||
const updateImageGeneration = async () => {
|
||||
const res = await updateImageGenerationConfig(
|
||||
localStorage.token,
|
||||
imageGenerationEngine,
|
||||
enableImageGeneration
|
||||
).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (enableImageGeneration) {
|
||||
config.set(await getBackendConfig(localStorage.token));
|
||||
getModels();
|
||||
}
|
||||
} else {
|
||||
enableImageGeneration = false;
|
||||
toast.error('AUTOMATIC1111_BASE_URL not provided');
|
||||
if (res) {
|
||||
imageGenerationEngine = res.engine;
|
||||
enableImageGeneration = res.enabled;
|
||||
}
|
||||
|
||||
if (enableImageGeneration) {
|
||||
config.set(await getBackendConfig(localStorage.token));
|
||||
getModels();
|
||||
}
|
||||
};
|
||||
|
||||
onMount(async () => {
|
||||
if ($user.role === 'admin') {
|
||||
enableImageGeneration = await getImageGenerationEnabledStatus(localStorage.token);
|
||||
AUTOMATIC1111_BASE_URL = await getAUTOMATIC1111Url(localStorage.token);
|
||||
const res = await getImageGenerationConfig(localStorage.token).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (enableImageGeneration && AUTOMATIC1111_BASE_URL) {
|
||||
imageSize = await getImageSize(localStorage.token);
|
||||
steps = await getImageSteps(localStorage.token);
|
||||
if (res) {
|
||||
imageGenerationEngine = res.engine;
|
||||
enableImageGeneration = res.enabled;
|
||||
}
|
||||
AUTOMATIC1111_BASE_URL = await getAUTOMATIC1111Url(localStorage.token);
|
||||
OPENAI_API_KEY = await getOpenAIKey(localStorage.token);
|
||||
|
||||
imageSize = await getImageSize(localStorage.token);
|
||||
steps = await getImageSteps(localStorage.token);
|
||||
|
||||
if (enableImageGeneration) {
|
||||
getModels();
|
||||
}
|
||||
}
|
||||
@@ -99,7 +116,13 @@
|
||||
class="flex flex-col h-full justify-between space-y-3 text-sm"
|
||||
on:submit|preventDefault={async () => {
|
||||
loading = true;
|
||||
await updateDefaultDiffusionModel(localStorage.token, selectedModel);
|
||||
|
||||
if (imageGenerationEngine === 'openai') {
|
||||
await updateOpenAIKey(localStorage.token, OPENAI_API_KEY);
|
||||
}
|
||||
|
||||
await updateDefaultImageGenerationModel(localStorage.token, selectedModel);
|
||||
|
||||
await updateImageSize(localStorage.token, imageSize).catch((error) => {
|
||||
toast.error(error);
|
||||
return null;
|
||||
@@ -117,6 +140,23 @@
|
||||
<div>
|
||||
<div class=" mb-1 text-sm font-medium">Image Settings</div>
|
||||
|
||||
<div class=" py-0.5 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">Image Generation Engine</div>
|
||||
<div class="flex items-center relative">
|
||||
<select
|
||||
class="w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-right"
|
||||
bind:value={imageGenerationEngine}
|
||||
placeholder="Select a mode"
|
||||
on:change={async () => {
|
||||
await updateImageGeneration();
|
||||
}}
|
||||
>
|
||||
<option value="">Default (Automatic1111)</option>
|
||||
<option value="openai">Open AI (Dall-E)</option>
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<div class=" py-0.5 flex w-full justify-between">
|
||||
<div class=" self-center text-xs font-medium">Image Generation (Experimental)</div>
|
||||
@@ -124,7 +164,17 @@
|
||||
<button
|
||||
class="p-1 px-3 text-xs flex rounded transition"
|
||||
on:click={() => {
|
||||
toggleImageGeneration();
|
||||
if (imageGenerationEngine === '' && AUTOMATIC1111_BASE_URL === '') {
|
||||
toast.error('AUTOMATIC1111 Base URL is required.');
|
||||
enableImageGeneration = false;
|
||||
} else if (imageGenerationEngine === 'openai' && OPENAI_API_KEY === '') {
|
||||
toast.error('OpenAI API Key is required.');
|
||||
enableImageGeneration = false;
|
||||
} else {
|
||||
enableImageGeneration = !enableImageGeneration;
|
||||
}
|
||||
|
||||
updateImageGeneration();
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
@@ -139,49 +189,62 @@
|
||||
</div>
|
||||
<hr class=" dark:border-gray-700" />
|
||||
|
||||
<div class=" mb-2.5 text-sm font-medium">AUTOMATIC1111 Base URL</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
|
||||
placeholder="Enter URL (e.g. http://127.0.0.1:7860/)"
|
||||
bind:value={AUTOMATIC1111_BASE_URL}
|
||||
/>
|
||||
</div>
|
||||
<button
|
||||
class="px-3 bg-gray-200 hover:bg-gray-300 dark:bg-gray-600 dark:hover:bg-gray-700 rounded transition"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
// updateOllamaAPIUrlHandler();
|
||||
|
||||
updateAUTOMATIC1111UrlHandler();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M15.312 11.424a5.5 5.5 0 01-9.201 2.466l-.312-.311h2.433a.75.75 0 000-1.5H3.989a.75.75 0 00-.75.75v4.242a.75.75 0 001.5 0v-2.43l.31.31a7 7 0 0011.712-3.138.75.75 0 00-1.449-.39zm1.23-3.723a.75.75 0 00.219-.53V2.929a.75.75 0 00-1.5 0V5.36l-.31-.31A7 7 0 003.239 8.188a.75.75 0 101.448.389A5.5 5.5 0 0113.89 6.11l.311.31h-2.432a.75.75 0 000 1.5h4.243a.75.75 0 00.53-.219z"
|
||||
clip-rule="evenodd"
|
||||
{#if imageGenerationEngine === ''}
|
||||
<div class=" mb-2.5 text-sm font-medium">AUTOMATIC1111 Base URL</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder="Enter URL (e.g. http://127.0.0.1:7860/)"
|
||||
bind:value={AUTOMATIC1111_BASE_URL}
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
<button
|
||||
class="px-3 bg-gray-200 hover:bg-gray-300 dark:bg-gray-600 dark:hover:bg-gray-700 rounded-lg transition"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
// updateOllamaAPIUrlHandler();
|
||||
|
||||
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
|
||||
Include `--api` flag when running stable-diffusion-webui
|
||||
<a
|
||||
class=" text-gray-300 font-medium"
|
||||
href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/3734"
|
||||
target="_blank"
|
||||
>
|
||||
(e.g. `sh webui.sh --api`)
|
||||
</a>
|
||||
</div>
|
||||
updateAUTOMATIC1111UrlHandler();
|
||||
}}
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
fill="currentColor"
|
||||
class="w-4 h-4"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M15.312 11.424a5.5 5.5 0 01-9.201 2.466l-.312-.311h2.433a.75.75 0 000-1.5H3.989a.75.75 0 00-.75.75v4.242a.75.75 0 001.5 0v-2.43l.31.31a7 7 0 0011.712-3.138.75.75 0 00-1.449-.39zm1.23-3.723a.75.75 0 00.219-.53V2.929a.75.75 0 00-1.5 0V5.36l-.31-.31A7 7 0 003.239 8.188a.75.75 0 101.448.389A5.5 5.5 0 0113.89 6.11l.311.31h-2.432a.75.75 0 000 1.5h4.243a.75.75 0 00.53-.219z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
|
||||
Include `--api` flag when running stable-diffusion-webui
|
||||
<a
|
||||
class=" text-gray-300 font-medium"
|
||||
href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/3734"
|
||||
target="_blank"
|
||||
>
|
||||
(e.g. `sh webui.sh --api`)
|
||||
</a>
|
||||
</div>
|
||||
{:else if imageGenerationEngine === 'openai'}
|
||||
<div class=" mb-2.5 text-sm font-medium">OpenAI API Key</div>
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder="Enter API Key"
|
||||
bind:value={OPENAI_API_KEY}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
{#if enableImageGeneration}
|
||||
<hr class=" dark:border-gray-700" />
|
||||
@@ -191,7 +254,7 @@
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<select
|
||||
class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
|
||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
bind:value={selectedModel}
|
||||
placeholder="Select a model"
|
||||
>
|
||||
@@ -199,9 +262,7 @@
|
||||
<option value="" disabled selected>Select a model</option>
|
||||
{/if}
|
||||
{#each models ?? [] as model}
|
||||
<option value={model.title} class="bg-gray-100 dark:bg-gray-700"
|
||||
>{model.model_name}</option
|
||||
>
|
||||
<option value={model.id} class="bg-gray-100 dark:bg-gray-700">{model.name}</option>
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
@@ -213,7 +274,7 @@
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
|
||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder="Enter Image Size (e.g. 512x512)"
|
||||
bind:value={imageSize}
|
||||
/>
|
||||
@@ -226,7 +287,7 @@
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<input
|
||||
class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
|
||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
placeholder="Enter Number of Steps (e.g. 50)"
|
||||
bind:value={steps}
|
||||
/>
|
||||
@@ -238,7 +299,7 @@
|
||||
|
||||
<div class="flex justify-end pt-3 text-sm font-medium">
|
||||
<button
|
||||
class=" px-4 py-2 bg-emerald-600 hover:bg-emerald-700 text-gray-100 transition rounded flex flex-row space-x-1 items-center {loading
|
||||
class=" px-4 py-2 bg-emerald-700 hover:bg-emerald-800 text-gray-100 transition rounded-lg flex flex-row space-x-1 items-center {loading
|
||||
? ' cursor-not-allowed'
|
||||
: ''}"
|
||||
type="submit"
|
||||
|
||||
@@ -63,6 +63,7 @@
|
||||
}
|
||||
|
||||
saveSettings({
|
||||
titleAutoGenerateModel: titleAutoGenerateModel !== '' ? titleAutoGenerateModel : undefined,
|
||||
titleGenerationPrompt: titleGenerationPrompt ? titleGenerationPrompt : undefined
|
||||
});
|
||||
};
|
||||
@@ -186,7 +187,7 @@
|
||||
<div class="flex w-full">
|
||||
<div class="flex-1 mr-2">
|
||||
<select
|
||||
class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
|
||||
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
|
||||
bind:value={titleAutoGenerateModel}
|
||||
placeholder="Select a model"
|
||||
>
|
||||
@@ -200,35 +201,12 @@
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
<button
|
||||
class="px-3 bg-gray-200 hover:bg-gray-300 dark:bg-gray-700 dark:hover:bg-gray-800 dark:text-gray-100 rounded transition"
|
||||
on:click={() => {
|
||||
saveSettings({
|
||||
titleAutoGenerateModel:
|
||||
titleAutoGenerateModel !== '' ? titleAutoGenerateModel : undefined
|
||||
});
|
||||
}}
|
||||
type="button"
|
||||
>
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 16 16"
|
||||
fill="currentColor"
|
||||
class="w-3.5 h-3.5"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M13.836 2.477a.75.75 0 0 1 .75.75v3.182a.75.75 0 0 1-.75.75h-3.182a.75.75 0 0 1 0-1.5h1.37l-.84-.841a4.5 4.5 0 0 0-7.08.932.75.75 0 0 1-1.3-.75 6 6 0 0 1 9.44-1.242l.842.84V3.227a.75.75 0 0 1 .75-.75Zm-.911 7.5A.75.75 0 0 1 13.199 11a6 6 0 0 1-9.44 1.241l-.84-.84v1.371a.75.75 0 0 1-1.5 0V9.591a.75.75 0 0 1 .75-.75H5.35a.75.75 0 0 1 0 1.5H3.98l.841.841a4.5 4.5 0 0 0 7.08-.932.75.75 0 0 1 1.025-.273Z"
|
||||
clip-rule="evenodd"
|
||||
/>
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
<div class="mt-3">
|
||||
<div class="mt-3 mr-2">
|
||||
<div class=" mb-2.5 text-sm font-medium">Title Generation Prompt</div>
|
||||
<textarea
|
||||
bind:value={titleGenerationPrompt}
|
||||
class="w-full rounded p-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none resize-none"
|
||||
class="w-full rounded-lg p-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none resize-none"
|
||||
rows="3"
|
||||
/>
|
||||
</div>
|
||||
@@ -321,7 +299,7 @@
|
||||
|
||||
<div class="flex justify-end pt-3 text-sm font-medium">
|
||||
<button
|
||||
class=" px-4 py-2 bg-emerald-600 hover:bg-emerald-700 text-gray-100 transition rounded"
|
||||
class=" px-4 py-2 bg-emerald-700 hover:bg-emerald-800 text-gray-100 transition rounded-lg"
|
||||
type="submit"
|
||||
>
|
||||
Save
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -326,7 +326,7 @@
|
||||
{getModels}
|
||||
{saveSettings}
|
||||
on:save={() => {
|
||||
show = false;
|
||||
toast.success('Settings saved successfully!');
|
||||
}}
|
||||
/>
|
||||
{:else if selectedTab === 'models'}
|
||||
@@ -335,28 +335,28 @@
|
||||
<Connections
|
||||
{getModels}
|
||||
on:save={() => {
|
||||
show = false;
|
||||
toast.success('Settings saved successfully!');
|
||||
}}
|
||||
/>
|
||||
{:else if selectedTab === 'interface'}
|
||||
<Interface
|
||||
{saveSettings}
|
||||
on:save={() => {
|
||||
show = false;
|
||||
toast.success('Settings saved successfully!');
|
||||
}}
|
||||
/>
|
||||
{:else if selectedTab === 'audio'}
|
||||
<Audio
|
||||
{saveSettings}
|
||||
on:save={() => {
|
||||
show = false;
|
||||
toast.success('Settings saved successfully!');
|
||||
}}
|
||||
/>
|
||||
{:else if selectedTab === 'images'}
|
||||
<Images
|
||||
{saveSettings}
|
||||
on:save={() => {
|
||||
show = false;
|
||||
toast.success('Settings saved successfully!');
|
||||
}}
|
||||
/>
|
||||
{:else if selectedTab === 'chats'}
|
||||
@@ -364,7 +364,7 @@
|
||||
{:else if selectedTab === 'account'}
|
||||
<Account
|
||||
saveHandler={() => {
|
||||
show = false;
|
||||
toast.success('Settings saved successfully!');
|
||||
}}
|
||||
/>
|
||||
{:else if selectedTab === 'about'}
|
||||
|
||||
@@ -1,18 +1,23 @@
|
||||
<script lang="ts">
|
||||
import { WEBUI_BASE_URL } from '$lib/constants';
|
||||
import ImagePreview from './ImagePreview.svelte';
|
||||
|
||||
export let src = '';
|
||||
export let alt = '';
|
||||
|
||||
let _src = '';
|
||||
|
||||
$: _src = src.startsWith('/') ? `${WEBUI_BASE_URL}${src}` : src;
|
||||
|
||||
let showImagePreview = false;
|
||||
</script>
|
||||
|
||||
<ImagePreview bind:show={showImagePreview} {src} {alt} />
|
||||
<ImagePreview bind:show={showImagePreview} src={_src} {alt} />
|
||||
<button
|
||||
on:click={() => {
|
||||
console.log('image preview');
|
||||
showImagePreview = true;
|
||||
}}
|
||||
>
|
||||
<img {src} {alt} class=" max-h-96 rounded-lg" draggable="false" />
|
||||
<img src={_src} {alt} class=" max-h-96 rounded-lg" draggable="false" />
|
||||
</button>
|
||||
|
||||
@@ -29,6 +29,6 @@
|
||||
});
|
||||
</script>
|
||||
|
||||
<div bind:this={tooltipElement}>
|
||||
<div bind:this={tooltipElement} aria-label={content}>
|
||||
<slot />
|
||||
</div>
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
|
||||
export let show = false;
|
||||
export let selectedDoc;
|
||||
|
||||
let uploadDocInputElement: HTMLInputElement;
|
||||
let inputFiles;
|
||||
let tags = [];
|
||||
|
||||
@@ -69,7 +69,7 @@
|
||||
}
|
||||
|
||||
inputFiles = null;
|
||||
document.getElementById('upload-doc-input').value = '';
|
||||
uploadDocInputElement.value = '';
|
||||
} else {
|
||||
toast.error(`File not found.`);
|
||||
}
|
||||
@@ -126,13 +126,20 @@
|
||||
}}
|
||||
>
|
||||
<div class="mb-3 w-full">
|
||||
<input id="upload-doc-input" hidden bind:files={inputFiles} type="file" multiple />
|
||||
<input
|
||||
id="upload-doc-input"
|
||||
bind:this={uploadDocInputElement}
|
||||
hidden
|
||||
bind:files={inputFiles}
|
||||
type="file"
|
||||
multiple
|
||||
/>
|
||||
|
||||
<button
|
||||
class="w-full text-sm font-medium py-3 bg-gray-850 hover:bg-gray-800 text-center rounded-xl"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
document.getElementById('upload-doc-input')?.click();
|
||||
uploadDocInputElement.click();
|
||||
}}
|
||||
>
|
||||
{#if inputFiles}
|
||||
|
||||
@@ -1,10 +1,10 @@
|
||||
<script lang="ts">
|
||||
import { getDocs } from '$lib/apis/documents';
|
||||
import {
|
||||
getChunkParams,
|
||||
getRAGConfig,
|
||||
updateRAGConfig,
|
||||
getQuerySettings,
|
||||
scanDocs,
|
||||
updateChunkParams,
|
||||
updateQuerySettings
|
||||
} from '$lib/apis/rag';
|
||||
import { documents } from '$lib/stores';
|
||||
@@ -17,6 +17,7 @@
|
||||
|
||||
let chunkSize = 0;
|
||||
let chunkOverlap = 0;
|
||||
let pdfExtractImages = true;
|
||||
|
||||
let querySettings = {
|
||||
template: '',
|
||||
@@ -35,16 +36,24 @@
|
||||
};
|
||||
|
||||
const submitHandler = async () => {
|
||||
const res = await updateChunkParams(localStorage.token, chunkSize, chunkOverlap);
|
||||
const res = await updateRAGConfig(localStorage.token, {
|
||||
pdf_extract_images: pdfExtractImages,
|
||||
chunk: {
|
||||
chunk_overlap: chunkOverlap,
|
||||
chunk_size: chunkSize
|
||||
}
|
||||
});
|
||||
querySettings = await updateQuerySettings(localStorage.token, querySettings);
|
||||
};
|
||||
|
||||
onMount(async () => {
|
||||
const res = await getChunkParams(localStorage.token);
|
||||
const res = await getRAGConfig(localStorage.token);
|
||||
|
||||
if (res) {
|
||||
chunkSize = res.chunk_size;
|
||||
chunkOverlap = res.chunk_overlap;
|
||||
pdfExtractImages = res.pdf_extract_images;
|
||||
|
||||
chunkSize = res.chunk.chunk_size;
|
||||
chunkOverlap = res.chunk.chunk_overlap;
|
||||
}
|
||||
|
||||
querySettings = await getQuerySettings(localStorage.token);
|
||||
@@ -124,82 +133,100 @@
|
||||
|
||||
<hr class=" dark:border-gray-700" />
|
||||
|
||||
<div class=" ">
|
||||
<div class=" text-sm font-medium">Chunk Params</div>
|
||||
<div class=" space-y-3">
|
||||
<div class=" space-y-3">
|
||||
<div class=" text-sm font-medium">Chunk Params</div>
|
||||
|
||||
<div class=" flex">
|
||||
<div class=" flex w-full justify-between">
|
||||
<div class="self-center text-xs font-medium min-w-fit">Chunk Size</div>
|
||||
<div class=" flex gap-2">
|
||||
<div class=" flex w-full justify-between gap-2">
|
||||
<div class="self-center text-xs font-medium min-w-fit">Chunk Size</div>
|
||||
|
||||
<div class="self-center p-3">
|
||||
<input
|
||||
class=" w-full rounded py-1.5 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none border border-gray-100 dark:border-gray-600"
|
||||
type="number"
|
||||
placeholder="Enter Chunk Size"
|
||||
bind:value={chunkSize}
|
||||
autocomplete="off"
|
||||
min="0"
|
||||
/>
|
||||
<div class="self-center">
|
||||
<input
|
||||
class=" w-full rounded py-1.5 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none border border-gray-100 dark:border-gray-600"
|
||||
type="number"
|
||||
placeholder="Enter Chunk Size"
|
||||
bind:value={chunkSize}
|
||||
autocomplete="off"
|
||||
min="0"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="flex w-full gap-2">
|
||||
<div class=" self-center text-xs font-medium min-w-fit">Chunk Overlap</div>
|
||||
|
||||
<div class="self-center">
|
||||
<input
|
||||
class="w-full rounded py-1.5 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none border border-gray-100 dark:border-gray-600"
|
||||
type="number"
|
||||
placeholder="Enter Chunk Overlap"
|
||||
bind:value={chunkOverlap}
|
||||
autocomplete="off"
|
||||
min="0"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="flex w-full">
|
||||
<div class=" self-center text-xs font-medium min-w-fit">Chunk Overlap</div>
|
||||
<div>
|
||||
<div class="flex justify-between items-center text-xs">
|
||||
<div class=" text-xs font-medium">PDF Extract Images (OCR)</div>
|
||||
|
||||
<div class="self-center p-3">
|
||||
<input
|
||||
class="w-full rounded py-1.5 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none border border-gray-100 dark:border-gray-600"
|
||||
type="number"
|
||||
placeholder="Enter Chunk Overlap"
|
||||
bind:value={chunkOverlap}
|
||||
autocomplete="off"
|
||||
min="0"
|
||||
/>
|
||||
<button
|
||||
class=" text-xs font-medium text-gray-500"
|
||||
type="button"
|
||||
on:click={() => {
|
||||
pdfExtractImages = !pdfExtractImages;
|
||||
}}>{pdfExtractImages ? 'On' : 'Off'}</button
|
||||
>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class=" text-sm font-medium">Query Params</div>
|
||||
|
||||
<div class=" flex">
|
||||
<div class=" flex w-full justify-between">
|
||||
<div class="self-center text-xs font-medium flex-1">Top K</div>
|
||||
|
||||
<div class="self-center p-3">
|
||||
<input
|
||||
class=" w-full rounded py-1.5 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none border border-gray-100 dark:border-gray-600"
|
||||
type="number"
|
||||
placeholder="Enter Top K"
|
||||
bind:value={querySettings.k}
|
||||
autocomplete="off"
|
||||
min="0"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- <div class="flex w-full">
|
||||
<div class=" self-center text-xs font-medium min-w-fit">Chunk Overlap</div>
|
||||
|
||||
<div class="self-center p-3">
|
||||
<input
|
||||
class="w-full rounded py-1.5 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none border border-gray-100 dark:border-gray-600"
|
||||
type="number"
|
||||
placeholder="Enter Chunk Overlap"
|
||||
bind:value={chunkOverlap}
|
||||
autocomplete="off"
|
||||
min="0"
|
||||
/>
|
||||
</div>
|
||||
</div> -->
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">RAG Template</div>
|
||||
<textarea
|
||||
bind:value={querySettings.template}
|
||||
class="w-full rounded p-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none resize-none"
|
||||
rows="4"
|
||||
/>
|
||||
<div class=" text-sm font-medium">Query Params</div>
|
||||
|
||||
<div class=" flex py-2">
|
||||
<div class=" flex w-full justify-between gap-2">
|
||||
<div class="self-center text-xs font-medium flex-1">Top K</div>
|
||||
|
||||
<div class="self-center">
|
||||
<input
|
||||
class=" w-full rounded py-1.5 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none border border-gray-100 dark:border-gray-600"
|
||||
type="number"
|
||||
placeholder="Enter Top K"
|
||||
bind:value={querySettings.k}
|
||||
autocomplete="off"
|
||||
min="0"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- <div class="flex w-full">
|
||||
<div class=" self-center text-xs font-medium min-w-fit">Chunk Overlap</div>
|
||||
|
||||
<div class="self-center p-3">
|
||||
<input
|
||||
class="w-full rounded py-1.5 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none border border-gray-100 dark:border-gray-600"
|
||||
type="number"
|
||||
placeholder="Enter Chunk Overlap"
|
||||
bind:value={chunkOverlap}
|
||||
autocomplete="off"
|
||||
min="0"
|
||||
/>
|
||||
</div>
|
||||
</div> -->
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<div class=" mb-2.5 text-sm font-medium">RAG Template</div>
|
||||
<textarea
|
||||
bind:value={querySettings.template}
|
||||
class="w-full rounded p-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none resize-none"
|
||||
rows="4"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -61,12 +61,16 @@
|
||||
};
|
||||
|
||||
const editChatTitle = async (id, _title) => {
|
||||
title = _title;
|
||||
if (_title === '') {
|
||||
toast.error('Title cannot be an empty string.');
|
||||
} else {
|
||||
title = _title;
|
||||
|
||||
await updateChatById(localStorage.token, id, {
|
||||
title: _title
|
||||
});
|
||||
await chats.set(await getChatList(localStorage.token));
|
||||
await updateChatById(localStorage.token, id, {
|
||||
title: _title
|
||||
});
|
||||
await chats.set(await getChatList(localStorage.token));
|
||||
}
|
||||
};
|
||||
|
||||
const deleteChat = async (id) => {
|
||||
@@ -388,12 +392,13 @@
|
||||
show = false;
|
||||
}
|
||||
}}
|
||||
draggable="false"
|
||||
>
|
||||
<div class=" flex self-center flex-1 w-full">
|
||||
<div
|
||||
class=" text-left self-center overflow-hidden {chat.id === $chatId
|
||||
? 'w-[160px]'
|
||||
: 'w-full'} "
|
||||
: 'w-full'} h-[20px]"
|
||||
>
|
||||
{chat.title}
|
||||
</div>
|
||||
|
||||
@@ -2,12 +2,11 @@
|
||||
import { onMount } from 'svelte';
|
||||
|
||||
export let messages = [];
|
||||
|
||||
let textAreaElement: HTMLTextAreaElement;
|
||||
onMount(() => {
|
||||
messages.forEach((message, idx) => {
|
||||
let textareaElement = document.getElementById(`${message.role}-${idx}-textarea`);
|
||||
textareaElement.style.height = '';
|
||||
textareaElement.style.height = textareaElement.scrollHeight + 'px';
|
||||
textAreaElement.style.height = '';
|
||||
textAreaElement.style.height = textAreaElement.scrollHeight + 'px';
|
||||
});
|
||||
});
|
||||
</script>
|
||||
@@ -27,16 +26,17 @@
|
||||
<div class="flex-1">
|
||||
<textarea
|
||||
id="{message.role}-{idx}-textarea"
|
||||
bind:this={textAreaElement}
|
||||
class="w-full bg-transparent outline-none rounded-lg p-2 text-sm resize-none overflow-hidden"
|
||||
placeholder="Enter {message.role === 'user' ? 'a user' : 'an assistant'} message here"
|
||||
rows="1"
|
||||
on:input={(e) => {
|
||||
e.target.style.height = '';
|
||||
e.target.style.height = e.target.scrollHeight + 'px';
|
||||
textAreaElement.style.height = '';
|
||||
textAreaElement.style.height = textAreaElement.scrollHeight + 'px';
|
||||
}}
|
||||
on:focus={(e) => {
|
||||
e.target.style.height = '';
|
||||
e.target.style.height = e.target.scrollHeight + 'px';
|
||||
textAreaElement.style.height = '';
|
||||
textAreaElement.style.height = textAreaElement.scrollHeight + 'px';
|
||||
|
||||
// e.target.style.height = Math.min(e.target.scrollHeight, 200) + 'px';
|
||||
}}
|
||||
|
||||
@@ -7,7 +7,7 @@ export const WEBUI_BASE_URL = dev ? `http://${location.hostname}:8080` : ``;
|
||||
export const WEBUI_API_BASE_URL = `${WEBUI_BASE_URL}/api/v1`;
|
||||
|
||||
export const LITELLM_API_BASE_URL = `${WEBUI_BASE_URL}/litellm/api`;
|
||||
export const OLLAMA_API_BASE_URL = `${WEBUI_BASE_URL}/ollama/api`;
|
||||
export const OLLAMA_API_BASE_URL = `${WEBUI_BASE_URL}/ollama`;
|
||||
export const OPENAI_API_BASE_URL = `${WEBUI_BASE_URL}/openai/api`;
|
||||
export const AUDIO_API_BASE_URL = `${WEBUI_BASE_URL}/audio/api/v1`;
|
||||
export const IMAGES_API_BASE_URL = `${WEBUI_BASE_URL}/images/api/v1`;
|
||||
@@ -90,8 +90,3 @@ export const SUPPORTED_FILE_EXTENSIONS = [
|
||||
// This feature, akin to $env/static/private, exclusively incorporates environment variables
|
||||
// that are prefixed with config.kit.env.publicPrefix (usually set to PUBLIC_).
|
||||
// Consequently, these variables can be securely exposed to client-side code.
|
||||
|
||||
// Example of the .env configuration:
|
||||
// OLLAMA_API_BASE_URL="http://localhost:11434/api"
|
||||
// # Public
|
||||
// PUBLIC_API_BASE_URL=$OLLAMA_API_BASE_URL
|
||||
|
||||
@@ -34,10 +34,11 @@
|
||||
import Sidebar from '$lib/components/layout/Sidebar.svelte';
|
||||
import ShortcutsModal from '$lib/components/chat/ShortcutsModal.svelte';
|
||||
import ChangelogModal from '$lib/components/ChangelogModal.svelte';
|
||||
import Tooltip from '$lib/components/common/Tooltip.svelte';
|
||||
|
||||
let ollamaVersion = '';
|
||||
let loaded = false;
|
||||
|
||||
let showShortcutsButtonElement: HTMLButtonElement;
|
||||
let DB = null;
|
||||
let localDBChats = [];
|
||||
|
||||
@@ -96,14 +97,11 @@
|
||||
if (localDBChats.length === 0) {
|
||||
await deleteDB('Chats');
|
||||
}
|
||||
|
||||
console.log('localdb', localDBChats);
|
||||
}
|
||||
|
||||
console.log(DB);
|
||||
} catch (error) {
|
||||
// IndexedDB Not Found
|
||||
console.log('IDB Not Found');
|
||||
}
|
||||
|
||||
console.log();
|
||||
@@ -184,7 +182,7 @@
|
||||
if (isCtrlPressed && event.key === '/') {
|
||||
event.preventDefault();
|
||||
console.log('showShortcuts');
|
||||
document.getElementById('show-shortcuts-button')?.click();
|
||||
showShortcutsButtonElement.click();
|
||||
}
|
||||
});
|
||||
|
||||
@@ -201,15 +199,18 @@
|
||||
|
||||
{#if loaded}
|
||||
<div class=" hidden lg:flex fixed bottom-0 right-0 px-3 py-3 z-10">
|
||||
<button
|
||||
id="show-shortcuts-button"
|
||||
class="text-gray-600 dark:text-gray-300 bg-gray-300/20 w-6 h-6 flex items-center justify-center text-xs rounded-full"
|
||||
on:click={() => {
|
||||
showShortcuts = !showShortcuts;
|
||||
}}
|
||||
>
|
||||
?
|
||||
</button>
|
||||
<Tooltip content="help" placement="left">
|
||||
<button
|
||||
id="show-shortcuts-button"
|
||||
bind:this={showShortcutsButtonElement}
|
||||
class="text-gray-600 dark:text-gray-300 bg-gray-300/20 w-6 h-6 flex items-center justify-center text-xs rounded-full"
|
||||
on:click={() => {
|
||||
showShortcuts = !showShortcuts;
|
||||
}}
|
||||
>
|
||||
?
|
||||
</button>
|
||||
</Tooltip>
|
||||
</div>
|
||||
|
||||
<ShortcutsModal bind:show={showShortcuts} />
|
||||
|
||||
@@ -42,7 +42,7 @@
|
||||
let stopResponseFlag = false;
|
||||
let autoScroll = true;
|
||||
let processing = '';
|
||||
|
||||
let messagesContainerElement: HTMLDivElement;
|
||||
let currentRequestId = null;
|
||||
|
||||
let selectedModels = [''];
|
||||
@@ -140,8 +140,9 @@
|
||||
};
|
||||
|
||||
const scrollToBottom = () => {
|
||||
const element = document.getElementById('messages-container');
|
||||
element.scrollTop = element.scrollHeight;
|
||||
if (messagesContainerElement) {
|
||||
messagesContainerElement.scrollTop = messagesContainerElement.scrollHeight;
|
||||
}
|
||||
};
|
||||
|
||||
//////////////////////////
|
||||
@@ -233,53 +234,6 @@
|
||||
const sendPrompt = async (prompt, parentId) => {
|
||||
const _chatId = JSON.parse(JSON.stringify($chatId));
|
||||
|
||||
const docs = messages
|
||||
.filter((message) => message?.files ?? null)
|
||||
.map((message) =>
|
||||
message.files.filter((item) => item.type === 'doc' || item.type === 'collection')
|
||||
)
|
||||
.flat(1);
|
||||
|
||||
console.log(docs);
|
||||
if (docs.length > 0) {
|
||||
processing = 'Reading';
|
||||
const query = history.messages[parentId].content;
|
||||
|
||||
let relevantContexts = await Promise.all(
|
||||
docs.map(async (doc) => {
|
||||
if (doc.type === 'collection') {
|
||||
return await queryCollection(localStorage.token, doc.collection_names, query).catch(
|
||||
(error) => {
|
||||
console.log(error);
|
||||
return null;
|
||||
}
|
||||
);
|
||||
} else {
|
||||
return await queryDoc(localStorage.token, doc.collection_name, query).catch((error) => {
|
||||
console.log(error);
|
||||
return null;
|
||||
});
|
||||
}
|
||||
})
|
||||
);
|
||||
relevantContexts = relevantContexts.filter((context) => context);
|
||||
|
||||
const contextString = relevantContexts.reduce((a, context, i, arr) => {
|
||||
return `${a}${context.documents.join(' ')}\n`;
|
||||
}, '');
|
||||
|
||||
console.log(contextString);
|
||||
|
||||
history.messages[parentId].raContent = await RAGTemplate(
|
||||
localStorage.token,
|
||||
contextString,
|
||||
query
|
||||
);
|
||||
history.messages[parentId].contexts = relevantContexts;
|
||||
await tick();
|
||||
processing = '';
|
||||
}
|
||||
|
||||
await Promise.all(
|
||||
selectedModels.map(async (modelId) => {
|
||||
const model = $models.filter((m) => m.id === modelId).at(0);
|
||||
@@ -340,18 +294,28 @@
|
||||
content: $settings.system
|
||||
}
|
||||
: undefined,
|
||||
...messages.filter((message) => !message.deleted)
|
||||
...messages
|
||||
]
|
||||
.filter((message) => message)
|
||||
.map((message, idx, arr) => ({
|
||||
role: message.role,
|
||||
content: arr.length - 2 !== idx ? message.content : message?.raContent ?? message.content,
|
||||
...(message.files && {
|
||||
images: message.files
|
||||
.filter((file) => file.type === 'image')
|
||||
.map((file) => file.url.slice(file.url.indexOf(',') + 1))
|
||||
})
|
||||
}));
|
||||
.map((message, idx, arr) => {
|
||||
// Prepare the base message object
|
||||
const baseMessage = {
|
||||
role: message.role,
|
||||
content: arr.length - 2 !== idx ? message.content : message?.raContent ?? message.content
|
||||
};
|
||||
|
||||
// Extract and format image URLs if any exist
|
||||
const imageUrls = message.files
|
||||
?.filter((file) => file.type === 'image')
|
||||
.map((file) => file.url.slice(file.url.indexOf(',') + 1));
|
||||
|
||||
// Add images array only if it contains elements
|
||||
if (imageUrls && imageUrls.length > 0 && message.role === 'user') {
|
||||
baseMessage.images = imageUrls;
|
||||
}
|
||||
|
||||
return baseMessage;
|
||||
});
|
||||
|
||||
let lastImageIndex = -1;
|
||||
|
||||
@@ -369,6 +333,13 @@
|
||||
}
|
||||
});
|
||||
|
||||
const docs = messages
|
||||
.filter((message) => message?.files ?? null)
|
||||
.map((message) =>
|
||||
message.files.filter((item) => item.type === 'doc' || item.type === 'collection')
|
||||
)
|
||||
.flat(1);
|
||||
|
||||
const [res, controller] = await generateChatCompletion(localStorage.token, {
|
||||
model: model,
|
||||
messages: messagesBody,
|
||||
@@ -376,7 +347,8 @@
|
||||
...($settings.options ?? {})
|
||||
},
|
||||
format: $settings.requestFormat ?? undefined,
|
||||
keep_alive: $settings.keepAlive ?? undefined
|
||||
keep_alive: $settings.keepAlive ?? undefined,
|
||||
docs: docs.length > 0 ? docs : undefined
|
||||
});
|
||||
|
||||
if (res && res.ok) {
|
||||
@@ -536,6 +508,15 @@
|
||||
const responseMessage = history.messages[responseMessageId];
|
||||
scrollToBottom();
|
||||
|
||||
const docs = messages
|
||||
.filter((message) => message?.files ?? null)
|
||||
.map((message) =>
|
||||
message.files.filter((item) => item.type === 'doc' || item.type === 'collection')
|
||||
)
|
||||
.flat(1);
|
||||
|
||||
console.log(docs);
|
||||
|
||||
const res = await generateOpenAIChatCompletion(
|
||||
localStorage.token,
|
||||
{
|
||||
@@ -548,12 +529,13 @@
|
||||
content: $settings.system
|
||||
}
|
||||
: undefined,
|
||||
...messages.filter((message) => !message.deleted)
|
||||
...messages
|
||||
]
|
||||
.filter((message) => message)
|
||||
.map((message, idx, arr) => ({
|
||||
role: message.role,
|
||||
...(message.files?.filter((file) => file.type === 'image').length > 0 ?? false
|
||||
...((message.files?.filter((file) => file.type === 'image').length > 0 ?? false) &&
|
||||
message.role === 'user'
|
||||
? {
|
||||
content: [
|
||||
{
|
||||
@@ -584,7 +566,8 @@
|
||||
top_p: $settings?.options?.top_p ?? undefined,
|
||||
num_ctx: $settings?.options?.num_ctx ?? undefined,
|
||||
frequency_penalty: $settings?.options?.repeat_penalty ?? undefined,
|
||||
max_tokens: $settings?.options?.num_predict ?? undefined
|
||||
max_tokens: $settings?.options?.num_predict ?? undefined,
|
||||
docs: docs.length > 0 ? docs : undefined
|
||||
},
|
||||
model.source === 'litellm' ? `${LITELLM_API_BASE_URL}/v1` : `${OPENAI_API_BASE_URL}`
|
||||
);
|
||||
@@ -695,7 +678,12 @@
|
||||
|
||||
if (messages.length == 2) {
|
||||
window.history.replaceState(history.state, '', `/c/${_chatId}`);
|
||||
await setChatTitle(_chatId, userPrompt);
|
||||
|
||||
if ($settings?.titleAutoGenerateModel) {
|
||||
await generateChatTitle(_chatId, userPrompt);
|
||||
} else {
|
||||
await setChatTitle(_chatId, userPrompt);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
@@ -821,8 +809,11 @@
|
||||
<div
|
||||
class=" pb-2.5 flex flex-col justify-between w-full flex-auto overflow-auto h-0"
|
||||
id="messages-container"
|
||||
bind:this={messagesContainerElement}
|
||||
on:scroll={(e) => {
|
||||
autoScroll = e.target.scrollHeight - e.target.scrollTop <= e.target.clientHeight + 50;
|
||||
autoScroll =
|
||||
messagesContainerElement.scrollHeight - messagesContainerElement.scrollTop <=
|
||||
messagesContainerElement.clientHeight + 50;
|
||||
}}
|
||||
>
|
||||
<div
|
||||
@@ -830,10 +821,7 @@
|
||||
? 'max-w-full'
|
||||
: 'max-w-2xl md:px-0'} mx-auto w-full px-4"
|
||||
>
|
||||
<ModelSelector
|
||||
bind:selectedModels
|
||||
disabled={messages.length > 0 && !selectedModels.includes('')}
|
||||
/>
|
||||
<ModelSelector bind:selectedModels />
|
||||
</div>
|
||||
|
||||
<div class=" h-full w-full flex flex-col py-8">
|
||||
|
||||
@@ -45,7 +45,7 @@
|
||||
let stopResponseFlag = false;
|
||||
let autoScroll = true;
|
||||
let processing = '';
|
||||
|
||||
let messagesContainerElement: HTMLDivElement;
|
||||
let currentRequestId = null;
|
||||
|
||||
// let chatId = $page.params.id;
|
||||
@@ -160,8 +160,9 @@
|
||||
};
|
||||
|
||||
const scrollToBottom = () => {
|
||||
const element = document.getElementById('messages-container');
|
||||
element.scrollTop = element.scrollHeight;
|
||||
if (messagesContainerElement) {
|
||||
messagesContainerElement.scrollTop = messagesContainerElement.scrollHeight;
|
||||
}
|
||||
};
|
||||
|
||||
//////////////////////////
|
||||
@@ -246,53 +247,6 @@
|
||||
const sendPrompt = async (prompt, parentId) => {
|
||||
const _chatId = JSON.parse(JSON.stringify($chatId));
|
||||
|
||||
const docs = messages
|
||||
.filter((message) => message?.files ?? null)
|
||||
.map((message) =>
|
||||
message.files.filter((item) => item.type === 'doc' || item.type === 'collection')
|
||||
)
|
||||
.flat(1);
|
||||
|
||||
console.log(docs);
|
||||
if (docs.length > 0) {
|
||||
processing = 'Reading';
|
||||
const query = history.messages[parentId].content;
|
||||
|
||||
let relevantContexts = await Promise.all(
|
||||
docs.map(async (doc) => {
|
||||
if (doc.type === 'collection') {
|
||||
return await queryCollection(localStorage.token, doc.collection_names, query).catch(
|
||||
(error) => {
|
||||
console.log(error);
|
||||
return null;
|
||||
}
|
||||
);
|
||||
} else {
|
||||
return await queryDoc(localStorage.token, doc.collection_name, query).catch((error) => {
|
||||
console.log(error);
|
||||
return null;
|
||||
});
|
||||
}
|
||||
})
|
||||
);
|
||||
relevantContexts = relevantContexts.filter((context) => context);
|
||||
|
||||
const contextString = relevantContexts.reduce((a, context, i, arr) => {
|
||||
return `${a}${context.documents.join(' ')}\n`;
|
||||
}, '');
|
||||
|
||||
console.log(contextString);
|
||||
|
||||
history.messages[parentId].raContent = await RAGTemplate(
|
||||
localStorage.token,
|
||||
contextString,
|
||||
query
|
||||
);
|
||||
history.messages[parentId].contexts = relevantContexts;
|
||||
await tick();
|
||||
processing = '';
|
||||
}
|
||||
|
||||
await Promise.all(
|
||||
selectedModels.map(async (modelId) => {
|
||||
const model = $models.filter((m) => m.id === modelId).at(0);
|
||||
@@ -353,18 +307,28 @@
|
||||
content: $settings.system
|
||||
}
|
||||
: undefined,
|
||||
...messages.filter((message) => !message.deleted)
|
||||
...messages
|
||||
]
|
||||
.filter((message) => message)
|
||||
.map((message, idx, arr) => ({
|
||||
role: message.role,
|
||||
content: arr.length - 2 !== idx ? message.content : message?.raContent ?? message.content,
|
||||
...(message.files && {
|
||||
images: message.files
|
||||
.filter((file) => file.type === 'image')
|
||||
.map((file) => file.url.slice(file.url.indexOf(',') + 1))
|
||||
})
|
||||
}));
|
||||
.map((message, idx, arr) => {
|
||||
// Prepare the base message object
|
||||
const baseMessage = {
|
||||
role: message.role,
|
||||
content: arr.length - 2 !== idx ? message.content : message?.raContent ?? message.content
|
||||
};
|
||||
|
||||
// Extract and format image URLs if any exist
|
||||
const imageUrls = message.files
|
||||
?.filter((file) => file.type === 'image')
|
||||
.map((file) => file.url.slice(file.url.indexOf(',') + 1));
|
||||
|
||||
// Add images array only if it contains elements
|
||||
if (imageUrls && imageUrls.length > 0 && message.role === 'user') {
|
||||
baseMessage.images = imageUrls;
|
||||
}
|
||||
|
||||
return baseMessage;
|
||||
});
|
||||
|
||||
let lastImageIndex = -1;
|
||||
|
||||
@@ -382,6 +346,13 @@
|
||||
}
|
||||
});
|
||||
|
||||
const docs = messages
|
||||
.filter((message) => message?.files ?? null)
|
||||
.map((message) =>
|
||||
message.files.filter((item) => item.type === 'doc' || item.type === 'collection')
|
||||
)
|
||||
.flat(1);
|
||||
|
||||
const [res, controller] = await generateChatCompletion(localStorage.token, {
|
||||
model: model,
|
||||
messages: messagesBody,
|
||||
@@ -389,7 +360,8 @@
|
||||
...($settings.options ?? {})
|
||||
},
|
||||
format: $settings.requestFormat ?? undefined,
|
||||
keep_alive: $settings.keepAlive ?? undefined
|
||||
keep_alive: $settings.keepAlive ?? undefined,
|
||||
docs: docs.length > 0 ? docs : undefined
|
||||
});
|
||||
|
||||
if (res && res.ok) {
|
||||
@@ -549,6 +521,15 @@
|
||||
const responseMessage = history.messages[responseMessageId];
|
||||
scrollToBottom();
|
||||
|
||||
const docs = messages
|
||||
.filter((message) => message?.files ?? null)
|
||||
.map((message) =>
|
||||
message.files.filter((item) => item.type === 'doc' || item.type === 'collection')
|
||||
)
|
||||
.flat(1);
|
||||
|
||||
console.log(docs);
|
||||
|
||||
const res = await generateOpenAIChatCompletion(
|
||||
localStorage.token,
|
||||
{
|
||||
@@ -561,12 +542,13 @@
|
||||
content: $settings.system
|
||||
}
|
||||
: undefined,
|
||||
...messages.filter((message) => !message.deleted)
|
||||
...messages
|
||||
]
|
||||
.filter((message) => message)
|
||||
.map((message, idx, arr) => ({
|
||||
role: message.role,
|
||||
...(message.files?.filter((file) => file.type === 'image').length > 0 ?? false
|
||||
...((message.files?.filter((file) => file.type === 'image').length > 0 ?? false) &&
|
||||
message.role === 'user'
|
||||
? {
|
||||
content: [
|
||||
{
|
||||
@@ -597,7 +579,8 @@
|
||||
top_p: $settings?.options?.top_p ?? undefined,
|
||||
num_ctx: $settings?.options?.num_ctx ?? undefined,
|
||||
frequency_penalty: $settings?.options?.repeat_penalty ?? undefined,
|
||||
max_tokens: $settings?.options?.num_predict ?? undefined
|
||||
max_tokens: $settings?.options?.num_predict ?? undefined,
|
||||
docs: docs.length > 0 ? docs : undefined
|
||||
},
|
||||
model.source === 'litellm' ? `${LITELLM_API_BASE_URL}/v1` : `${OPENAI_API_BASE_URL}`
|
||||
);
|
||||
@@ -708,9 +691,15 @@
|
||||
|
||||
if (messages.length == 2) {
|
||||
window.history.replaceState(history.state, '', `/c/${_chatId}`);
|
||||
await setChatTitle(_chatId, userPrompt);
|
||||
|
||||
if ($settings?.titleAutoGenerateModel) {
|
||||
await generateChatTitle(_chatId, userPrompt);
|
||||
} else {
|
||||
await setChatTitle(_chatId, userPrompt);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const stopResponse = () => {
|
||||
stopResponseFlag = true;
|
||||
console.log('stopResponse');
|
||||
@@ -852,8 +841,11 @@
|
||||
<div
|
||||
class=" pb-2.5 flex flex-col justify-between w-full flex-auto overflow-auto h-0"
|
||||
id="messages-container"
|
||||
bind:this={messagesContainerElement}
|
||||
on:scroll={(e) => {
|
||||
autoScroll = e.target.scrollHeight - e.target.scrollTop <= e.target.clientHeight + 50;
|
||||
autoScroll =
|
||||
messagesContainerElement.scrollHeight - messagesContainerElement.scrollTop <=
|
||||
messagesContainerElement.clientHeight + 50;
|
||||
}}
|
||||
>
|
||||
<div
|
||||
@@ -861,10 +853,7 @@
|
||||
? 'max-w-full'
|
||||
: 'max-w-2xl md:px-0'} mx-auto w-full px-4"
|
||||
>
|
||||
<ModelSelector
|
||||
bind:selectedModels
|
||||
disabled={messages.length > 0 && !selectedModels.includes('')}
|
||||
/>
|
||||
<ModelSelector bind:selectedModels />
|
||||
</div>
|
||||
|
||||
<div class=" h-full w-full flex flex-col py-8">
|
||||
|
||||
@@ -21,7 +21,7 @@
|
||||
|
||||
let inputFiles = '';
|
||||
let query = '';
|
||||
|
||||
let documentsImportInputElement: HTMLInputElement;
|
||||
let tags = [];
|
||||
|
||||
let showSettingsModal = false;
|
||||
@@ -524,6 +524,7 @@
|
||||
<div class="flex space-x-2">
|
||||
<input
|
||||
id="documents-import-input"
|
||||
bind:this={documentsImportInputElement}
|
||||
bind:files={importFiles}
|
||||
type="file"
|
||||
accept=".json"
|
||||
@@ -558,8 +559,8 @@
|
||||
|
||||
<button
|
||||
class="flex text-xs items-center space-x-1 px-3 py-1.5 rounded-xl bg-gray-50 hover:bg-gray-100 dark:bg-gray-800 dark:hover:bg-gray-700 dark:text-gray-200 transition"
|
||||
on:click={async () => {
|
||||
document.getElementById('documents-import-input')?.click();
|
||||
on:click={() => {
|
||||
documentsImportInputElement.click();
|
||||
}}
|
||||
>
|
||||
<div class=" self-center mr-2 font-medium">Import Documents Mapping</div>
|
||||
|
||||
@@ -16,11 +16,14 @@
|
||||
|
||||
let localModelfiles = [];
|
||||
let importFiles;
|
||||
|
||||
let modelfilesImportInputElement: HTMLInputElement;
|
||||
const deleteModelHandler = async (tagName) => {
|
||||
let success = null;
|
||||
|
||||
success = await deleteModel(localStorage.token, tagName);
|
||||
success = await deleteModel(localStorage.token, tagName).catch((err) => {
|
||||
toast.error(err);
|
||||
return null;
|
||||
});
|
||||
|
||||
if (success) {
|
||||
toast.success(`Deleted ${tagName}`);
|
||||
@@ -235,6 +238,7 @@
|
||||
<div class="flex space-x-1">
|
||||
<input
|
||||
id="modelfiles-import-input"
|
||||
bind:this={modelfilesImportInputElement}
|
||||
bind:files={importFiles}
|
||||
type="file"
|
||||
accept=".json"
|
||||
@@ -262,8 +266,8 @@
|
||||
|
||||
<button
|
||||
class="flex text-xs items-center space-x-1 px-3 py-1.5 rounded-xl bg-gray-50 hover:bg-gray-100 dark:bg-gray-800 dark:hover:bg-gray-700 dark:text-gray-200 transition"
|
||||
on:click={async () => {
|
||||
document.getElementById('modelfiles-import-input')?.click();
|
||||
on:click={() => {
|
||||
modelfilesImportInputElement.click();
|
||||
}}
|
||||
>
|
||||
<div class=" self-center mr-2 font-medium">Import Modelfiles</div>
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<script>
|
||||
<script lang="ts">
|
||||
import { goto } from '$app/navigation';
|
||||
|
||||
import { onMount, tick } from 'svelte';
|
||||
@@ -21,15 +21,17 @@
|
||||
|
||||
let mode = 'chat';
|
||||
let loaded = false;
|
||||
|
||||
let text = '';
|
||||
|
||||
let selectedModelId = '';
|
||||
|
||||
let loading = false;
|
||||
let currentRequestId;
|
||||
let currentRequestId = null;
|
||||
let stopResponseFlag = false;
|
||||
|
||||
let messagesContainerElement: HTMLDivElement;
|
||||
let textCompletionAreaElement: HTMLTextAreaElement;
|
||||
|
||||
let system = '';
|
||||
let messages = [
|
||||
{
|
||||
@@ -39,13 +41,7 @@
|
||||
];
|
||||
|
||||
const scrollToBottom = () => {
|
||||
let element;
|
||||
|
||||
if (mode === 'chat') {
|
||||
element = document.getElementById('messages-container');
|
||||
} else {
|
||||
element = document.getElementById('text-completion-textarea');
|
||||
}
|
||||
const element = mode === 'chat' ? messagesContainerElement : textCompletionAreaElement;
|
||||
|
||||
if (element) {
|
||||
element.scrollTop = element?.scrollHeight;
|
||||
@@ -96,6 +92,10 @@
|
||||
while (true) {
|
||||
const { value, done } = await reader.read();
|
||||
if (done || stopResponseFlag) {
|
||||
if (stopResponseFlag) {
|
||||
await cancelChatCompletion(localStorage.token, currentRequestId);
|
||||
}
|
||||
|
||||
currentRequestId = null;
|
||||
break;
|
||||
}
|
||||
@@ -112,7 +112,11 @@
|
||||
let data = JSON.parse(line.replace(/^data: /, ''));
|
||||
console.log(data);
|
||||
|
||||
text += data.choices[0].delta.content ?? '';
|
||||
if ('request_id' in data) {
|
||||
currentRequestId = data.request_id;
|
||||
} else {
|
||||
text += data.choices[0].delta.content ?? '';
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -150,16 +154,6 @@
|
||||
: `${OLLAMA_API_BASE_URL}/v1`
|
||||
);
|
||||
|
||||
// const [res, controller] = await generateChatCompletion(localStorage.token, {
|
||||
// model: selectedModelId,
|
||||
// messages: [
|
||||
// {
|
||||
// role: 'assistant',
|
||||
// content: text
|
||||
// }
|
||||
// ]
|
||||
// });
|
||||
|
||||
let responseMessage;
|
||||
if (messages.at(-1)?.role === 'assistant') {
|
||||
responseMessage = messages.at(-1);
|
||||
@@ -184,6 +178,11 @@
|
||||
while (true) {
|
||||
const { value, done } = await reader.read();
|
||||
if (done || stopResponseFlag) {
|
||||
if (stopResponseFlag) {
|
||||
await cancelChatCompletion(localStorage.token, currentRequestId);
|
||||
}
|
||||
|
||||
currentRequestId = null;
|
||||
break;
|
||||
}
|
||||
|
||||
@@ -200,17 +199,21 @@
|
||||
let data = JSON.parse(line.replace(/^data: /, ''));
|
||||
console.log(data);
|
||||
|
||||
if (responseMessage.content == '' && data.choices[0].delta.content == '\n') {
|
||||
continue;
|
||||
if ('request_id' in data) {
|
||||
currentRequestId = data.request_id;
|
||||
} else {
|
||||
textareaElement.style.height = textareaElement.scrollHeight + 'px';
|
||||
if (responseMessage.content == '' && data.choices[0].delta.content == '\n') {
|
||||
continue;
|
||||
} else {
|
||||
textareaElement.style.height = textareaElement.scrollHeight + 'px';
|
||||
|
||||
responseMessage.content += data.choices[0].delta.content ?? '';
|
||||
messages = messages;
|
||||
responseMessage.content += data.choices[0].delta.content ?? '';
|
||||
messages = messages;
|
||||
|
||||
textareaElement.style.height = textareaElement.scrollHeight + 'px';
|
||||
textareaElement.style.height = textareaElement.scrollHeight + 'px';
|
||||
|
||||
await tick();
|
||||
await tick();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -221,48 +224,6 @@
|
||||
|
||||
scrollToBottom();
|
||||
}
|
||||
|
||||
// while (true) {
|
||||
// const { value, done } = await reader.read();
|
||||
// if (done || stopResponseFlag) {
|
||||
// if (stopResponseFlag) {
|
||||
// await cancelChatCompletion(localStorage.token, currentRequestId);
|
||||
// }
|
||||
|
||||
// currentRequestId = null;
|
||||
// break;
|
||||
// }
|
||||
|
||||
// try {
|
||||
// let lines = value.split('\n');
|
||||
|
||||
// for (const line of lines) {
|
||||
// if (line !== '') {
|
||||
// console.log(line);
|
||||
// let data = JSON.parse(line);
|
||||
|
||||
// if ('detail' in data) {
|
||||
// throw data;
|
||||
// }
|
||||
|
||||
// if ('id' in data) {
|
||||
// console.log(data);
|
||||
// currentRequestId = data.id;
|
||||
// } else {
|
||||
// if (data.done == false) {
|
||||
// text += data.message.content;
|
||||
// } else {
|
||||
// console.log('done');
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
// } catch (error) {
|
||||
// console.log(error);
|
||||
// }
|
||||
|
||||
// scrollToBottom();
|
||||
// }
|
||||
}
|
||||
};
|
||||
|
||||
@@ -306,7 +267,7 @@
|
||||
|
||||
<div class="min-h-screen max-h-[100dvh] w-full flex justify-center dark:text-white">
|
||||
<div class=" flex flex-col justify-between w-full overflow-y-auto h-[100dvh]">
|
||||
<div class="max-w-2xl mx-auto w-full px-3 p-3 md:px-0 h-full">
|
||||
<div class="max-w-2xl mx-auto w-full px-3 md:px-0 my-10 h-full">
|
||||
<div class=" flex flex-col h-full">
|
||||
<div class="flex flex-col justify-between mb-2.5 gap-1">
|
||||
<div class="flex justify-between items-center gap-2">
|
||||
@@ -417,12 +378,14 @@
|
||||
<div
|
||||
class=" pb-2.5 flex flex-col justify-between w-full flex-auto overflow-auto h-0"
|
||||
id="messages-container"
|
||||
bind:this={messagesContainerElement}
|
||||
>
|
||||
<div class=" h-full w-full flex flex-col">
|
||||
<div class="flex-1 p-1">
|
||||
{#if mode === 'complete'}
|
||||
<textarea
|
||||
id="text-completion-textarea"
|
||||
bind:this={textCompletionAreaElement}
|
||||
class="w-full h-full p-3 bg-transparent outline outline-1 outline-gray-200 dark:outline-gray-800 resize-none rounded-lg text-sm"
|
||||
bind:value={text}
|
||||
placeholder="You're a helpful assistant."
|
||||
|
||||
@@ -11,7 +11,7 @@
|
||||
|
||||
let importFiles = '';
|
||||
let query = '';
|
||||
|
||||
let promptsImportInputElement: HTMLInputElement;
|
||||
const sharePrompt = async (prompt) => {
|
||||
toast.success('Redirecting you to OpenWebUI Community');
|
||||
|
||||
@@ -208,6 +208,7 @@
|
||||
<div class="flex space-x-2">
|
||||
<input
|
||||
id="prompts-import-input"
|
||||
bind:this={promptsImportInputElement}
|
||||
bind:files={importFiles}
|
||||
type="file"
|
||||
accept=".json"
|
||||
@@ -241,8 +242,8 @@
|
||||
|
||||
<button
|
||||
class="flex text-xs items-center space-x-1 px-3 py-1.5 rounded-xl bg-gray-50 hover:bg-gray-100 dark:bg-gray-800 dark:hover:bg-gray-700 dark:text-gray-200 transition"
|
||||
on:click={async () => {
|
||||
document.getElementById('prompts-import-input')?.click();
|
||||
on:click={() => {
|
||||
promptsImportInputElement.click();
|
||||
}}
|
||||
>
|
||||
<div class=" self-center mr-2 font-medium">Import Prompts</div>
|
||||
@@ -266,7 +267,7 @@
|
||||
<button
|
||||
class="flex text-xs items-center space-x-1 px-3 py-1.5 rounded-xl bg-gray-50 hover:bg-gray-100 dark:bg-gray-800 dark:hover:bg-gray-700 dark:text-gray-200 transition"
|
||||
on:click={async () => {
|
||||
// document.getElementById('modelfiles-import-input')?.click();
|
||||
// promptsImportInputElement.click();
|
||||
let blob = new Blob([JSON.stringify($prompts)], {
|
||||
type: 'application/json'
|
||||
});
|
||||
|
||||
+4
-7
@@ -3,16 +3,13 @@
|
||||
@tailwind utilities;
|
||||
|
||||
@layer base {
|
||||
html {
|
||||
html, pre {
|
||||
font-family: -apple-system, 'Arimo', ui-sans-serif, system-ui, 'Segoe UI', Roboto, Ubuntu,
|
||||
Cantarell, 'Noto Sans', sans-serif, 'Helvetica Neue', Arial, 'Apple Color Emoji',
|
||||
'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
|
||||
}
|
||||
|
||||
pre {
|
||||
font-family: -apple-system, 'Arimo', ui-sans-serif, system-ui, 'Segoe UI', Roboto, Ubuntu,
|
||||
Cantarell, 'Noto Sans', sans-serif, 'Helvetica Neue', Arial, 'Apple Color Emoji',
|
||||
'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
|
||||
white-space: pre-wrap;
|
||||
}
|
||||
pre {
|
||||
white-space: pre-wrap;
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user