Dockerfile

# Use Python 3.9 slim image for better compatibility
FROM python:3.9-slim

# Set working directory
WORKDIR /app

# Set environment variables
ENV PYTHONPATH=/app
ENV PYTHONUNBUFFERED=1
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    software-properties-common \
    git \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first for better caching
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# Copy the entire project
COPY . .

# Create necessary directories
RUN mkdir -p /app/data/image_data /app/data/videos_data

# Download models (if you have pretrained models)
# You can uncomment these lines if you want to download models from a URL
# RUN wget -O hybrid_deepfake_model.h5 "YOUR_MODEL_URL" || echo "Model download skipped"

# Expose ports for both services
EXPOSE 7860 8501

# Create a startup script
RUN echo '#!/bin/bash\n\
echo "Starting FastAPI server..."\n\
python app/main.py &\n\
sleep 10\n\
echo "Starting Streamlit app..."\n\
streamlit run src/streamlit_app.py --server.port=8501 --server.address=0.0.0.0\n' > /app/start.sh && chmod +x /app/start.sh

# For Hugging Face Spaces, we'll use the Streamlit app as the main entrypoint
CMD ["streamlit", "run", "src/streamlit_app.py", "--server.port=7860", "--server.address=0.0.0.0"]