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>
16 lines
402 B
Plaintext
16 lines
402 B
Plaintext
# torch and auto-gptq are installed in the Dockerfile with GPU-specific index URLs.
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# For local dev outside Docker: pip install torch --index-url https://download.pytorch.org/whl/cu128
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transformers==4.57.6
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optimum>=1.19
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compressed-tensors>=0.5.0
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onnxruntime>=1.17.0
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huggingface-hub>=0.20.0
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qwen-asr==0.0.6
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kokoro==0.9.4
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fastapi>=0.115.0
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uvicorn[standard]>=0.30.0
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numpy
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soundfile
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scipy
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python-multipart
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