mirror of
https://github.com/open-webui/pipelines
synced 2025-05-30 18:19:19 +00:00
50 lines
1.4 KiB
Docker
50 lines
1.4 KiB
Docker
FROM python:3.11-slim-bookworm AS base
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# Use args
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ARG MINIMUM_BUILD
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ARG USE_CUDA
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ARG USE_CUDA_VER
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## Basis ##
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ENV ENV=prod \
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PORT=9099 \
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# pass build args to the build
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MINIMUM_BUILD=${MINIMUM_BUILD} \
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USE_CUDA_DOCKER=${USE_CUDA} \
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USE_CUDA_DOCKER_VER=${USE_CUDA_VER}
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# Install GCC and build tools.
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# These are kept in the final image to enable installing packages on the fly.
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RUN apt-get update && \
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apt-get install -y gcc build-essential curl git && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# Install Python dependencies
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COPY ./requirements.txt .
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COPY ./requirements-minimum.txt .
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RUN pip3 install uv
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RUN if [ "$MINIMUM_BUILD" != "true" ]; then \
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if [ "$USE_CUDA_DOCKER" = "true" ]; then \
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir; \
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else \
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir; \
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fi \
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fi
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RUN if [ "$MINIMUM_BUILD" = "true" ]; then \
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uv pip install --system -r requirements-minimum.txt --no-cache-dir; \
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else \
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uv pip install --system -r requirements.txt --no-cache-dir; \
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fi
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# Copy the application code
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COPY . .
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# Expose the port
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ENV HOST="0.0.0.0"
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ENV PORT="9099"
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ENTRYPOINT [ "bash", "start.sh" ]
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