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# 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 <image>`
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"] |