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# Dockerfile - Streamlit app for huggingface model
FROM python:3.13.5-slim
ENV PYTHONUNBUFFERED=1 \
HF_HOME=/tmp/huggingface \
TRANSFORMERS_CACHE=/tmp/huggingface/transformers \
HF_DATASETS_CACHE=/tmp/huggingface/datasets \
HUGGINGFACE_HUB_CACHE=/tmp/huggingface/hub \
XDG_CACHE_HOME=/tmp/huggingface \
HOME=/tmp
WORKDIR /app
# Install system deps
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
git \
curl \
&& rm -rf /var/lib/apt/lists/*
# create cache dirs early (prevents permission errors in Spaces)
RUN mkdir -p /tmp/huggingface/transformers /tmp/huggingface/datasets /tmp/huggingface/hub \
&& chmod -R 777 /tmp/huggingface
# copy requirements and install
COPY requirements.txt /app/requirements.txt
RUN python -m pip install --upgrade pip
RUN pip install -r /app/requirements.txt
# copy app
COPY . /app
# Expose Streamlit port (Spaces and local Streamlit default)
EXPOSE 8501
# Healthcheck (simple)
HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \
CMD curl --fail http://localhost:8501/_stcore/health || exit 1
# Start streamlit
ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.headless=true", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]
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