sentiment-scope / backend /Dockerfile
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feat: single-image Hugging Face Spaces deployment with rate limiting
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FROM python:3.13-slim
WORKDIR /app
# CPU-only torch wheel: ~10x smaller than the default CUDA build, and there
# is no GPU inside this container anyway. requirements-docker.txt excludes
# torch so we install it once from the CPU index, then the rest normally.
COPY requirements-docker.txt .
RUN pip install --no-cache-dir torch==2.12.1 --index-url https://download.pytorch.org/whl/cpu \
&& pip install --no-cache-dir -r requirements-docker.txt
COPY app ./app
EXPOSE 8000
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]