7. Activate the environment: `mamba activate model_server_env`
8. Add the project source as a Python package: `pip install -e .`
control either via batch runners or API (serial)
# Start the server
Simply click "start_server command" in the model_server directory. This should open a terminal that reports server requests, as well as a browser with a status confirmation page. To stop the server, type "stop" in the terminal.
workflow: combines data access with processing via models, produces primary outputs