masked-diffusion / Dockerfile
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claude opus 5 (1m context)
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FROM python:3.11-slim
# non-root user (HF Spaces convention; writable HOME for the HF cache the model
# is pulled into at boot).
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 \
TMPDIR=/tmp
WORKDIR /home/user/app
# CPU-only torch (the default PyPI wheel is CUDA and huge).
RUN pip install --no-cache-dir --user torch --index-url https://download.pytorch.org/whl/cpu
COPY --chown=user requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt
COPY --chown=user . .
EXPOSE 7860
# One worker (single shared model), threads for concurrent requests. No --preload:
# the worker pulls + loads the model in its own process (avoids the torch/OpenMP
# fork deadlock). --timeout 0 keeps the first-boot model download from tripping
# the worker timeout.
CMD ["gunicorn", "-w", "1", "--threads", "8", "-k", "gthread", "-b", "0.0.0.0:7860", "--timeout", "0", "app:app"]