I am currently writing a transcriptor app. I’ve deployed it since a couple versions to my cloud.
However, I added a few files to Git LFS because they’re too big to be uploaded normally.
I store the logic for my models as .npy, .pth, .bin files.
Everythings works locally normally, but the cloud project seems to have issues cloning my stored files.
How can I solve this? I don’t want to use an ugly workaround.
Streamlit Cloud supports using GitLFS, but if I’m not mistaken it does require credits to be purchased (from GitHub) over a certain size. How large are the files you are using?