# Dockerfile for VAD + Speaker Diarization System
FROM python:3.10-slim

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    ffmpeg \
    libsndfile1 \
    git \
    && rm -rf /var/lib/apt/lists/*

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

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

# Install PyTorch with CUDA support (optional, comment out for CPU-only)
# RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

# Copy application code
COPY src/ ./src/
COPY app.py .

# Create directories for data
RUN mkdir -p /app/data /app/outputs

# Expose Gradio port
EXPOSE 7860

# Set environment variables
ENV GRADIO_SERVER_NAME="0.0.0.0"
ENV GRADIO_SERVER_PORT=7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:7860/ || exit 1

# Run the application
CMD ["python", "app.py"]