bhetherman
263f39e0a3
Upgrade PyTorch to 2.7+ with cu128 wheels for Blackwell (sm_120) GPU support. Replace silero-vad (which depends on torchaudio) with a direct ONNX Runtime implementation of the same Silero VAD model, eliminating the torchaudio dependency entirely. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
43 lines
1.2 KiB
Docker
43 lines
1.2 KiB
Docker
FROM nvidia/cuda:12.8.0-cudnn-devel-ubuntu22.04
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ENV DEBIAN_FRONTEND=noninteractive
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ENV PYTHONUNBUFFERED=1
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# HuggingFace model cache — mounted as a volume so models persist across runs
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ENV HF_HOME=/cache/huggingface
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RUN apt-get update && apt-get install -y \
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python3.11 \
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python3.11-dev \
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python3.11-venv \
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git \
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ffmpeg \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Bootstrap pip for python3.11 (Debian disables ensurepip for system Python)
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RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.11
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RUN ln -sf /usr/bin/python3.11 /usr/bin/python
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WORKDIR /app
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# Install PyTorch 2.7+ with CUDA 12.8 support (includes Blackwell/sm_120 support)
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RUN python3.11 -m pip install --no-cache-dir \
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torch torchvision \
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--index-url https://download.pytorch.org/whl/cu128
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# Install auto-gptq pre-built wheel for CUDA 12.8 (avoids compiling from source)
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RUN python3.11 -m pip install --no-cache-dir \
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"auto-gptq>=0.7.1" \
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--extra-index-url https://huggingface.github.io/autogptq-index/whl/cu128/
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# Install the rest of the app requirements
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COPY requirements.txt .
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RUN python3.11 -m pip install --no-cache-dir -r requirements.txt
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COPY . .
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EXPOSE 8000
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CMD ["python3.11", "run.py"]
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