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69def8e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | # Use Python 3.10 slim image
FROM python:3.10-slim
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
# Install system dependencies for OpenCV and DeepFace
RUN apt-get update && apt-get install -y \
libgl1 \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
git \
&& rm -rf /var/lib/apt/lists/*
# Create user with UID 1000 for Hugging Face Spaces security
RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:${PATH}"
# Set working directory
WORKDIR /app
# Copy requirements and install
COPY --chown=user requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Pre-download FaceNet weights (Facenet models are about 90MB)
# We can use a script to trigger the download during build
COPY --chown=user src/ /app/src/
COPY --chown=user scripts/ /app/scripts/
RUN mkdir -p /home/user/.deepface/weights
ADD --chown=user https://github.com/serengil/deepface_models/releases/download/v1.0/facenet_weights.h5 /home/user/.deepface/weights/facenet_weights.h5
# Copy the rest of the application
COPY --chown=user . .
EXPOSE 7860
CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]
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