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+FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
+
+# Set environment variables
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
+ENV HF_HOME=/app/.cache/huggingface
+ENV TRANSFORMERS_CACHE=/app/.cache/huggingface/transformers
+ENV PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:128
+
+# Create necessary directories with proper permissions
+RUN mkdir -p /app/.cache/huggingface/transformers && \
+    chmod -R 777 /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    git \
+    curl \
+    ca-certificates \
+    python3-pip \
+    python3-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create a working directory
+WORKDIR /app
+
+# Install core requirements
+COPY requirements.txt .
+RUN pip3 install --no-cache-dir --upgrade pip && \
+    pip3 install --no-cache-dir -r requirements.txt
+
+# Install additional dependencies specifically for InternViT
+RUN pip3 install --no-cache-dir transformers==4.37.2 timm==0.9.11 accelerate==0.30.0 safetensors==0.4.1
+
+# Copy the application
+COPY simple_internvit_test.py .
+
+# Add a script to check GPU status and run the app
+RUN echo '#!/bin/bash \n\
+echo "Checking NVIDIA GPU status..." \n\
+if ! command -v nvidia-smi &> /dev/null; then \n\
+    echo "WARNING: nvidia-smi command not found. NVIDIA driver might not be installed." \n\
+else \n\
+    echo "NVIDIA driver found. Running nvidia-smi:" \n\
+    nvidia-smi \n\
+fi \n\
+echo "Environment variables:" \n\
+echo "CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES}" \n\
+echo "NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES}" \n\
+echo "PYTORCH_CUDA_ALLOC_CONF=${PYTORCH_CUDA_ALLOC_CONF}" \n\
+echo "\nStarting app..." \n\
+exec "$@"' > /entrypoint.sh && \
+chmod +x /entrypoint.sh
+
+# Expose port 7860 for Gradio
+EXPOSE 7860
+
+# Use our entrypoint script
+ENTRYPOINT ["/entrypoint.sh"]
+
+# Start the application
+CMD ["python3", "simple_internvit_test.py"]