buenosairesam
f66d3a273f
- root pyproject.toml replaces requirements.txt and requirements-worker.txt (worker = root + ffmpeg-python which root already had); test deps moved to [dependency-groups] dev - core/gpu/pyproject.toml replaces core/gpu/requirements.txt; uses [tool.uv.sources] to pin torch/torchvision and paddlepaddle-gpu to their CUDA index URLs, replacing the manual reinstall dance from old comments - Dockerfiles use uv sync --frozen against uv.lock for reproducible builds; PATH includes /app/.venv/bin so k8s manifests' bare uvicorn/celery commands resolve without wrapping in uv run - core/gpu/run.sh local mode now does uv sync + uv run python server.py; errors out cleanly if uv is missing
22 lines
408 B
Docker
22 lines
408 B
Docker
FROM python:3.11-slim
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RUN pip install --no-cache-dir uv
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RUN apt-get update && apt-get install -y \
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libgl1 libglib2.0-0 \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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ENV PATH="/app/.venv/bin:$PATH"
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# uv.lock is generated on first build (dev box can't reach paddlepaddle's index)
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COPY pyproject.toml ./
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RUN uv sync --no-install-project --no-dev
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COPY . .
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EXPOSE 8000
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CMD ["python", "server.py"]
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