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Major update: Add NFL training data generation and improve model handling
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# Use standard Python image - compatible with HF Spaces
FROM python:3.10
# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV DEBIAN_FRONTEND=noninteractive
# Install system dependencies
RUN apt-get update && apt-get install -y \
git \
curl \
build-essential \
cmake \
&& rm -rf /var/lib/apt/lists/*
# Upgrade pip
RUN pip install --upgrade pip
# Set working directory
WORKDIR /app
# Copy requirements
COPY requirements.txt .
# Install PyTorch 2.5.0 with compatible TorchVision 0.20.0 - using safetensors to avoid CVE-2025-32434
RUN pip install torch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cu121
# Skip llama-cpp-python to avoid compilation - using transformers instead
# Install other requirements
RUN pip install -r requirements.txt
# Copy application files
COPY app.py .
COPY gradio_app.py .
COPY README.md .
# Create cache directories with proper permissions
RUN mkdir -p /app/.cache/matplotlib /app/.cache/fontconfig && chmod -R 777 /app/.cache
ENV HF_HOME=/app/.cache
ENV HF_DATASETS_CACHE=/app/.cache
ENV OMP_NUM_THREADS=4
ENV MPLCONFIGDIR=/app/.cache/matplotlib
ENV FONTCONFIG_FILE=/app/.cache/fontconfig
# Expose port
EXPOSE 7860
# Run the Gradio application
CMD ["python", "gradio_app.py"]