davanstrien HF Staff
Claude Opus 4.5
Optimize Dockerfile: use uv from official image, resolve deps on target platform
dab5e76 Download Dockerfile from Jenny0613/Datasets-in-machine-learning: direct link, hf CLI and curl.
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- Download file 961 Bytes
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https://huggingface.co/spaces/Jenny0613/Datasets-in-machine-learning/resolve/main/Dockerfile
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hf download hf://spaces/Jenny0613/Datasets-in-machine-learning/Dockerfile
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curl -L -o Dockerfile https://huggingface.co/spaces/Jenny0613/Datasets-in-machine-learning/resolve/main/Dockerfile
961 Bytes
| FROM python:3.11-slim | |
| # Install uv from official image (fast, no pip bootstrap needed) | |
| COPY --from=ghcr.io/astral-sh/uv:0.9.30 /uv /bin/uv | |
| ENV HF_HUB_ENABLE_HF_TRANSFER=1 | |
| # Install dependencies from requirements.in - resolved on the target platform, | |
| # no cross-compilation flags needed. CPU-only torch via extra index. | |
| COPY requirements.in /tmp/requirements.in | |
| RUN --mount=type=cache,target=/root/.cache/uv \ | |
| uv pip install --system \ | |
| --extra-index-url https://download.pytorch.org/whl/cpu \ | |
| -r /tmp/requirements.in | |
| # Create non-root user (HF Spaces runs as user ID 1000) | |
| RUN useradd -m -u 1000 user | |
| USER user | |
| # Set home and path | |
| ENV HOME=/home/user \ | |
| PATH=/home/user/.local/bin:$PATH | |
| WORKDIR $HOME/app | |
| # Copy application (as user) | |
| COPY --chown=user . . | |
| # Create data directory for dataset download | |
| RUN mkdir -p $HOME/app/data | |
| # HF Spaces expects port 7860 | |
| EXPOSE 7860 | |
| CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] | |