docs: updated readme

readme.md

@@ -1,10 +1,9 @@
 # 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
+- Run 'make start_mlflow_ui' to init and start the docker container
+- Run 'sync_mlflow_ui' to sync your local changes with the database. Deletions of any kind are disabled.
 - 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