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# Use NVIDIA CUDA base image for GPU support on HuggingFace Spaces
FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONUNBUFFERED=1 \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_SERVER_PORT=7860
# Install system dependencies
RUN apt-get update && apt-get install -y \
python3.10 \
python3-pip \
git \
curl \
&& rm -rf /var/lib/apt/lists/*
# Create symbolic link for python
RUN ln -s /usr/bin/python3.10 /usr/bin/python
# Set up user with ID 1000 (required by HuggingFace Spaces)
RUN useradd -m -u 1000 user
# Switch to user
USER user
# Set home and path
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH
# Set working directory
WORKDIR $HOME/app
# Upgrade pip
RUN pip3 install --no-cache-dir --upgrade pip
# Copy requirements and install (fix NumPy version first)
COPY --chown=user requirements.txt .
RUN pip3 install --no-cache-dir "numpy<2" && \
pip3 install --no-cache-dir -r requirements.txt
# Copy application files
COPY --chown=user app.py .
COPY --chown=user README.md .
# Create data directory for persistent storage
RUN mkdir -p $HOME/app/data
# Expose Gradio port
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
CMD curl -f http://localhost:7860/ || exit 1
# Run the Gradio application
CMD ["python3", "app.py"]
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