Create Dockerfile

Dockerfile

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+# Use a lightweight Python base image
+FROM python:3.9-slim
+
+# Set working directory
+WORKDIR /app
+
+# Set environment variables
+ENV HF_HOME="/tmp/huggingface/cache"
+ENV FLASK_APP=app.py
+ENV FLASK_ENV=production
+ENV PYTHONUNBUFFERED=1
+ENV CUDA_VISIBLE_DEVICES="-1"  # Force CPU mode for compatibility
+
+# Create Hugging Face cache directory with proper permissions
+RUN mkdir -p /tmp/huggingface/cache && \
+    chmod -R 777 /tmp/huggingface/cache && \
+    apt-get update && \
+    apt-get install -y --no-install-recommends gcc python3-dev && \
+    rm -rf /var/lib/apt/lists/*
+
+# Copy requirements and install dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Create models directory if it doesn't exist
+RUN mkdir -p models
+
+# Ensure permissions for application files
+RUN chmod -R 755 /app
+
+# Expose application port (Hugging Face Spaces uses port 7860)
+EXPOSE 7860
+
+# Create a script to run the application
+RUN echo '#!/bin/bash\n\
+# Check if model files exist\n\
+if [ ! -f "models/mobilenetv2_ham10000_finetuned_74.h5" ] || [ ! -f "models/efficientnetb0_skin_cancer_model_final_69.keras" ]; then\n\
+  echo "Warning: Model files not found. Please ensure models are uploaded to the models directory."\n\
+fi\n\
+\n\
+# Run the Flask application\n\
+flask run --host=0.0.0.0 --port=7860\n\
+' > /app/start.sh && chmod +x /app/start.sh
+
+# Run the Flask application
+CMD ["/app/start.sh"]