pluto
8aa42e6fcb
resemblyzer depends on webrtcvad which compiles C extensions — gcc and build-essential are required in slim containers. silero-vad pip package has a broken native .so in python:3.12-slim; VAD model is now loaded at runtime via torch.hub.load() which downloads on first use. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
23 lines
981 B
Docker
23 lines
981 B
Docker
FROM python:3.12-slim
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg libsndfile1 gcc build-essential && rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY pyproject.toml .
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# Install torch CPU-only first (avoids pulling GPU variant), then rest of deps
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# silero-vad pip package excluded — runtime uses torch.hub.load instead
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RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu && \
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pip install --no-cache-dir resemblyzer scipy numpy && \
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pip install --no-cache-dir fastapi uvicorn[standard] pydantic-settings httpx websockets livekit-api
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COPY app/ app/
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# Pre-download resemblyzer model (VoiceEncoder downloads ~25MB pretrained weights)
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RUN python -c "from resemblyzer import VoiceEncoder; VoiceEncoder()"
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# Note: silero-vad model downloads lazily at first container startup via torch.hub
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ENV PYTHONUNBUFFERED=1
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CMD ["python", "-m", "uvicorn", "app.pipeline.main:app", "--host", "0.0.0.0", "--port", "8300"]
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