Streamlit is really cool. I know there are some threads on HTML and security to execute in Streamlit. I was wondering if I can embed Tensorflow based components such as TFDV and TFMA within a running Streamlit app.
Has anyone gotten this to work? I can do this in a Jupyter Notebook with iPython but unsure if we can do in Streamlit. Thanks!
Hi @ahsanshah, thanks for posting. We do not explicitly support it. It seems TFDV and TFMA are based on facets. I added a feature request to investigate how to add it:
We also have a plugin architecture coming up that may enable more specialized extensions to be added to Streamlit:
Matteo
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