mirror of
https://github.com/QuentinFuxa/WhisperLiveKit.git
synced 2026-03-07 14:23:18 +00:00
64 lines
1.9 KiB
Docker
64 lines
1.9 KiB
Docker
FROM python:3.13-slim
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ENV DEBIAN_FRONTEND=noninteractive
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ENV PYTHONUNBUFFERED=1
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WORKDIR /app
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ARG EXTRAS
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ARG HF_PRECACHE_DIR
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ARG HF_TKN_FILE
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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ffmpeg \
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git \
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build-essential \
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python3-dev && \
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rm -rf /var/lib/apt/lists/*
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# Install CPU-only PyTorch
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RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
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COPY . .
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# Install WhisperLiveKit directly, allowing for optional dependencies
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RUN if [ -n "$EXTRAS" ]; then \
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echo "Installing with extras: [$EXTRAS]"; \
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pip install --no-cache-dir whisperlivekit[$EXTRAS]; \
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else \
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echo "Installing base package only"; \
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pip install --no-cache-dir whisperlivekit; \
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fi
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# Enable in-container caching for Hugging Face models
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VOLUME ["/root/.cache/huggingface/hub"]
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# Conditionally copy a local pre-cache from the build context
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RUN if [ -n "$HF_PRECACHE_DIR" ]; then \
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echo "Copying Hugging Face cache from $HF_PRECACHE_DIR"; \
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mkdir -p /root/.cache/huggingface/hub && \
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cp -r $HF_PRECACHE_DIR/* /root/.cache/huggingface/hub; \
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else \
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echo "No local Hugging Face cache specified, skipping copy"; \
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fi
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# Conditionally copy a Hugging Face token if provided
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RUN if [ -n "$HF_TKN_FILE" ]; then \
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echo "Copying Hugging Face token from $HF_TKN_FILE"; \
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mkdir -p /root/.cache/huggingface && \
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cp $HF_TKN_FILE /root/.cache/huggingface/token; \
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else \
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echo "No Hugging Face token file specified, skipping token setup"; \
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fi
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# Expose port for the transcription server
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EXPOSE 8000
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HEALTHCHECK --interval=30s --timeout=5s --start-period=120s --retries=3 \
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CMD python3 -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/')" || exit 1
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ENTRYPOINT ["whisperlivekit-server", "--host", "0.0.0.0"]
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# Default args - you might want to use a smaller model for CPU
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CMD ["--model", "tiny"] |