Hello!
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I trained a flower image classifier in tensorflow and keras and then saved the model as model.hdf4 in google collab.
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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.]
(https://github.com/streamlit/streamlit/issues/new/choose)
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?
thank you!