I’m new to this so forgive me if this is an overly simple question. I’m trying to deploy a model for classifying chromosomal abnormalities, but the “*.h5” file is not loading properly when I deploy via the cloud; it produces a FileNotFound Error. However, when I deploy the app locally it works as expected (see screenshots).
I’m thinking it might have to do with the fact that the model weights are managed by Git LFS. Anyone know if this idea makes sense or have any other clues why it might be working in my local environment and not from the repo? The model file was successfully pushed to my repo.
Hey, I appreciate you taking a look. No need to apologize. This is my first web app and I know it’s crude. It’s these kind of exchanges that will motivate me to become better. Got any favorite resources or developers to check out to learn from?
BTW, I reverted streamlit_app.py to try and load the model via git lfs (rather than with DropBox) but when I am still getting this error that indicates my model is not being downloaded by the streamlit app successfully.