# Use the official lightweight Python 3.11 slim image as the base FROM python:3.11-slim # Install uv and required system dependencies # - `apt-get update` fetches the latest package lists # - `apt-get install -y --no-install-recommends curl libpq-dev gcc build-essential` installs: # - curl: to fetch the uv installer script # - libpq-dev: provides pg_config required by psycopg2 # - gcc & build-essential: required for compiling C extensions (e.g. psycopg2) # - `curl -LsSf` downloads and runs the uv installer script # - `apt-get remove -y curl` removes curl after installation to save space # - `apt-get clean && rm -rf /var/lib/apt/lists/*` removes cached package lists to reduce image size RUN apt-get update && \ apt-get install -y --no-install-recommends curl libpq-dev gcc build-essential && \ curl -LsSf https://astral.sh/uv/install.sh | sh && \ apt-get remove -y curl && \ apt-get clean && rm -rf /var/lib/apt/lists/* # Add uv to the system PATH so it can be run globally ENV PATH="/root/.local/bin:$PATH" # Set the working directory in the container WORKDIR /app # Copy dependency files first (pyproject.toml & uv.lock) to leverage Docker’s build cache # - Ensures that if only the application code changes, dependencies do not need to be reinstalled COPY pyproject.toml uv.lock /app/ # Install dependencies using uv # - Reads pyproject.toml (and uv.lock, if available) to install dependencies # - Creates a .venv in the project directory with all required packages RUN uv sync # Copy the remaining project files into the container COPY . . # Document the port used by Gradio # - This does not actually expose the port, it is just metadata for users # - To actually expose the port, use `docker run -p 7860:7860 ` EXPOSE 7860 # Define the command to start the application # - `uv run` ensures that the virtual environment is activated and dependencies are up to date # - `python -m src.main` runs the main application module CMD ["uv", "run", "python", "-m", "src.main"]