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with venv to resolve errors
Browse files- Dockerfile +10 -9
Dockerfile
CHANGED
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@@ -3,27 +3,28 @@ FROM ghcr.io/abetlen/llama-cpp-python:latest
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WORKDIR /app
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# The base image already has llama-cpp-python,
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# so we only need to install huggingface_hub
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RUN pip install huggingface_hub
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# --- Model Download ---
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# Copy the download script into the container
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COPY download_model.py .
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# Make the HF_TOKEN secret available as an argument
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# This will be passed in by the HF Spaces platform
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ARG HF_TOKEN
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RUN --mount=type=secret,id=HF_TOKEN \
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python download_model.py
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# --- Server Runtime ---
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# Expose port 8000 (which we defined in README.md)
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EXPOSE 8000
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# This
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#
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CMD [ \
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"python", \
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"-m", "llama_cpp.server", \
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WORKDIR /app
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# Copy the download script into the container
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COPY download_model.py .
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# Make the HF_TOKEN secret available as an argument
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ARG HF_TOKEN
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# --- FIX: Use a temporary virtual env to install dependencies ---
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# This creates a venv, installs huggingface_hub inside it,
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# runs the download script, and then this venv is discarded.
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# This prevents our pip install from breaking the base image.
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RUN --mount=type=secret,id=HF_TOKEN \
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python -m venv /tmp/downloader-venv && \
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. /tmp/downloader-venv/bin/activate && \
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pip install huggingface_hub && \
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python download_model.py
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# --- Server Runtime ---
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# Expose port 8000 (which we defined in README.md)
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EXPOSE 8000
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# This command runs in the base image's original environment
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# which should be stable and correctly linked.
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CMD [ \
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"python", \
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"-m", "llama_cpp.server", \
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