mirror of
https://github.com/QuentinFuxa/WhisperLiveKit.git
synced 2026-03-07 06:14:05 +00:00
84 lines
2.7 KiB
Docker
84 lines
2.7 KiB
Docker
FROM nvidia/cuda:12.9.1-cudnn-devel-ubuntu24.04
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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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python3 \
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python3-pip \
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python3-venv \
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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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ca-certificates && \
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rm -rf /var/lib/apt/lists/*
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RUN python3 -m venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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# timeout/retries for large torch wheels
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RUN pip3 install --upgrade pip setuptools wheel && \
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pip3 --disable-pip-version-check install --timeout=120 --retries=5 \
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--index-url https://download.pytorch.org/whl/cu129 \
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torch torchaudio \
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|| (echo "Initial install failed — retrying with extended timeout..." && \
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pip3 --disable-pip-version-check install --timeout=300 --retries=3 \
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--index-url https://download.pytorch.org/whl/cu129 \
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torch torchvision torchaudio)
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COPY . .
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# Install WhisperLiveKit directly, allowing for optional dependencies
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RUN if [ -n "$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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# In-container caching for Hugging Face models by:
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# A) Make the cache directory persistent via an anonymous volume.
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# Note: This only persists for a single, named container. This is
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# only for convenience at de/test stage.
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# For prod, it is better to use a named volume via host mount/k8s.
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VOLUME ["/root/.cache/huggingface/hub"]
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# or
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# B) Conditionally copy a local pre-cache from the build context to the
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# container's cache via the HF_PRECACHE_DIR build-arg.
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# WARNING: This will copy ALL files in the pre-cache location.
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# Conditionally copy a cache directory if provided
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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 $HF_PRECACHE_DIR/* /root/.cache/huggingface/hub; \
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else \
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echo "No local Hugging Face cache specified, skipping copy"; \
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fi
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# Conditionally copy a Hugging Face token if provided. Useful for Diart backend (pyannote audio models)
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RUN if [ -n "$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 8000
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ENTRYPOINT ["whisperlivekit-server", "--host", "0.0.0.0"]
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CMD ["--model", "medium"]
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