Thx again for your time

Happy to be of assistance 🙂

running the python code from 

COLAB

 or locally

Since the Python code using the ClearML SDK is the one uploading stuff to the storage, you will have to configure the credentials there (in a local clearml.conf or using environment variables). The ClearML Server itself running in GKE (so I understand) doesn't need the credentials since it will never try to access the storage - it only holds links to the storage.

I was able to view the 

artifact

 directly (and not through the WebApp)  in the bucket- Is it possible to do so in ClearML?

Well, if you have some way of browsing the bucket conveniently, you can of course see the artifact there, it's just a file, stored under a directory structure with the Project name and the task ID