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Simplify manufacturing ML dependencies
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FROM python:3.11-slim
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
ca-certificates \
curl \
libssl-dev \
pkg-config \
&& rm -rf /var/lib/apt/lists/*
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
HF_HOME=/home/user/.cache/huggingface \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=1
WORKDIR $HOME/app
RUN pip install --upgrade pip
COPY --chown=user vendor/*.whl /tmp/hyperview-wheel/
# Install CPU-only PyTorch first so the Space does not pull the default CUDA bundle.
RUN pip install torch==2.9.1+cpu torchvision==0.24.1+cpu --index-url https://download.pytorch.org/whl/cpu
RUN echo "Installing bundled HyperView wheel" \
&& pip install /tmp/hyperview-wheel/*.whl \
&& python - <<'PY'
import inspect
import hyperview as hv
print("hyperview", hv.__version__, inspect.signature(hv.launch))
PY
RUN pip install \
"datasets>=4.5.0" \
"Pillow>=12.0.0" \
"timm>=1.0.0" \
"transformers>=5.0.0,<6.0" \
"safetensors>=0.4.0" \
"pyyaml>=6.0.0" \
"sentencepiece>=0.2.0" \
"protobuf>=4.25.0"
COPY --chown=user . .
ENV HYPERVIEW_HOST=0.0.0.0 \
HYPERVIEW_PORT=7860 \
HYPERVIEW_WORKSPACE_ID=manufacturing-visa-reference-clip-hyper3clip \
HYPERVIEW_DATASETS_DIR=/home/user/app/demo_data/datasets \
HYPERVIEW_MEDIA_DIR=/home/user/app/demo_data/media
EXPOSE 7860
HEALTHCHECK --interval=30s --timeout=10s --start-period=600s --retries=3 \
CMD curl -f http://localhost:7860/__hyperview__/health || exit 1
CMD ["python", "demo.py"]