Copy .env.example as .env and edit the necessary variables.
docker compose up --build
Frontend part of the application is available on port $FRONTEND_PORT (default: 3000). Backend part of the application is available on port $BACKEND_PORT (default: 8000).
Set up .env in the frontened directory from example with port http://localhost:5000 as API path
npm i
npm start
Download and unpack prediction models https://github.com/Nester44/IASA-Champ-24/releases/tag/v1.0.0-models. Set up .env file in backend folder with CITIES variable copied from the example.
flask run