Add Docker configuration for GPU diagnostics

Dockerfile

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+FROM huggingface/transformers-pytorch-gpu:latest
+
+# Set basic environment variables
+ENV PYTHONUNBUFFERED=1
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    curl \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set working directory
+WORKDIR /app
+
+# Install Python requirements
+RUN pip install --no-cache-dir gradio==3.38.0 pillow numpy
+
+# Copy diagnostic script
+COPY gpu_test.py /app/
+
+# Add a script to check GPU status at startup
+RUN echo '#!/bin/bash \n\
+echo "==== GPU DIAGNOSTICS STARTUP CHECKS ====" \n\
+echo "Checking NVIDIA driver and CUDA:" \n\
+nvidia-smi || echo "nvidia-smi failed - GPU may not be properly configured" \n\
+echo "Current GPU-related environment variables:" \n\
+echo "CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES}" \n\
+echo "NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES}" \n\
+echo "==== STARTING APPLICATION ====" \n\
+exec "$@"' > /entrypoint.sh && \
+chmod +x /entrypoint.sh
+
+# Make port 7860 available for the app
+EXPOSE 7860
+
+# Use our entrypoint script to check GPU status before starting the app
+ENTRYPOINT ["/entrypoint.sh"]
+
+# Start the application
+CMD ["python", "gpu_test.py"]