e8375d6c72
Adds ensure_blla_model.py which loads the blla segmentation model with ketos on every container start. If the model is missing or in the legacy PyTorch ZIP format (incompatible with ketos 7), it re-downloads the correct CoreML protobuf model from Zenodo (DOI 10.5281/zenodo.14602569). The Dockerfile now uses entrypoint.sh which runs this check before starting uvicorn. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
29 lines
748 B
Docker
29 lines
748 B
Docker
FROM python:3.11-slim
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WORKDIR /app
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# curl for healthcheck; libgomp1 for PyTorch CPU threading; libvips for kraken PDF support
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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libgomp1 \
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libvips42 \
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&& rm -rf /var/lib/apt/lists/*
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# PyTorch CPU-only — separate layer; the whl/cpu index strips all CUDA variants (~2 GB saved)
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# torchvision must also come from the CPU index to match torch's operator registrations
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RUN pip install --no-cache-dir \
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torch==2.7.1 \
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torchvision==0.22.1 \
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--index-url https://download.pytorch.org/whl/cpu
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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RUN chmod +x /app/entrypoint.sh
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EXPOSE 8000
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CMD ["/app/entrypoint.sh"]
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