| # Use an official Python runtime as a parent image | |
| FROM python:3.11-slim | |
| # Set environment variables | |
| ENV PYTHONDONTWRITEBYTECODE=1 | |
| ENV PYTHONUNBUFFERED=1 | |
| ENV PYTHONPATH=/app | |
| # Set work directory | |
| WORKDIR /app | |
| # Install system dependencies required for FAISS, Pillow, and other ML libraries | |
| RUN apt-get update && apt-get install -y \ | |
| build-essential \ | |
| libgomp1 \ | |
| libgl1 \ | |
| libglib2.0-0 \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Copy requirements file first to leverage Docker cache | |
| COPY requirements.txt . | |
| # Install Python dependencies | |
| # We use --no-cache-dir to keep the image size small | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Copy the entire backend directory into the container | |
| # Since docker builds from root context, we map backend/ -> /app/backend | |
| COPY backend/ ./backend/ | |
| # Create necessary data directories (so they exist for the app) | |
| RUN mkdir -p /app/data/uploaded_files /app/data/faiss_index /app/models | |
| # Expose the port Hugging Face expects (7860) | |
| EXPOSE 7860 | |
| # Command to run the application on port 7860 | |
| CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "7860"] | |