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# HuggingFace Spaces compatible Dockerfile
FROM python:3.8-slim
# Set working directory
WORKDIR /app
# Install system dependencies needed for mmcv compilation and OpenCV
RUN apt-get update && \
apt-get install -y --no-install-recommends \
git \
build-essential \
cmake \
ninja-build \
libsm6 \
libxext6 \
libgl1 \
libglib2.0-0 \
libssl-dev \
wget \
curl && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
# Copy requirements
COPY requirements.txt /app/
# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \
pip install --no-cache-dir -r requirements.txt
# Copy application code (excluding large files via .dockerignore)
COPY . /app/
# Create checkpoint directory
RUN mkdir -p /app/finetuning_rodla/finetuning_rodla/checkpoints
# Optional: Attempt to download weights at build time (non-blocking)
# If download fails or times out, the backend will fall back to heuristic detection
# Weights can be manually placed in: /app/finetuning_rodla/finetuning_rodla/checkpoints/rodla_internimage_xl_publaynet.pth
RUN timeout 300 python /app/deployment/backend/download_weights.py 2>&1 || echo "⚠️ Weight download timed out or failed - backend will use heuristic detection. To enable full detection, manually place weights file in checkpoints directory."
# Run backend.py on port 7860 (HuggingFace standard)
CMD ["python", "deployment/backend/backend.py"]
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