Smart-Crowd-Detector / Dockerfile
Ali Abdullah
Fix requirements.txt encoding for HF
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FROM python:3.11-slim
# Create user with UID 1000 - Hugging Face requires this specific setup
RUN useradd -m -u 1000 user
# Install system dependencies needed for OpenCV
RUN apt-get update && apt-get install -y \
libgl1 \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
&& rm -rf /var/lib/apt/lists/*
# Switch to the non-root user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH
# Set the working directory
WORKDIR $HOME/app
# Copy dependencies first (for Docker caching)
COPY --chown=user requirements.txt .
RUN pip install --no-cache-dir torch==2.5.1 torchvision==0.20.1 --index-url https://download.pytorch.org/whl/cpu && pip install --no-cache-dir -r requirements.txt
# Copy the rest of the application
COPY --chown=user . $HOME/app
# Hugging Face exposes exactly port 7860
ENV PORT=7860
EXPOSE 7860
# Run the Flask App
CMD ["python", "app.py"]