Dockerfile

# Use a Python base image suitable for Streamlit and Flask
FROM python:3.9-slim

# Set the working directory inside the container
WORKDIR /app

# Copy the requirements file and install Python dependencies
# This leverages Docker's build cache.
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy all your application code into the container
# This includes main.py, streamlit_app.py, routers/, utils/, data/, etc.
COPY . .

# Ensure the 'data' directory exists inside the container, as your Flask app expects it.
RUN mkdir -p data

# Expose the port Streamlit will listen on.
# Hugging Face Spaces automatically exposes port 7860 for Streamlit apps.
EXPOSE 7860

# Command to run on container startup
# This command starts the Flask backend in the background and then runs the Streamlit frontend.
# Streamlit will then interact with your Flask application on localhost:5000.
CMD ["sh", "-c", "python main.py & streamlit run streamlit_app.py --server.port=7860 --server.address=0.0.0.0"]