How to start the mlflow ui

Create a classic personal access token in your github developer settings (it only needs the read packages permission) and paste it to .env
Run 'make setiup_mlflow_ui' to setup the docker container
Add the aws key id and secrret and the bucket name to the .env file
Run 'make start_mlflow_ui' to start the docker container
Run 'refresh_mlflow_ui' to sync your local files with the database
Access the mlflow ui at localhost:4444
Run 'make stop_mlflow_ui' to stop the docker container
Run 'make 'remove_mlflow_ui' to delete the docker container and the image

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