I trained a flower image classifier in tensorflow and keras and then saved the model as model.hdf4 in google collab.
Then I created a web application using streamlit. The saved model.hdf4 is loaded and executed.
and got a HashError.
InternalHashError: module ‘main’ has no attribute ‘file’
While caching the body of
load_model(), Streamlit encountered an
object of type
builtins.function, which it does not know how to hash.
In this specific case, it’s very likely you found a Streamlit bug so please
[file a bug report here.]
In the meantime, you can try bypassing this error by registering a custom
hash function via the
hash_funcs keyword in @st.cache(). For example:
Does anyone knows how to make Streamlit able to hash this objects?