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Hi Adrien I'm currently doing the "develop in jupyter notebooks, deploy in python scripts" thing, however I'm only deploying predictive models, using AWS Lambda. Would Streamlit be a good fit for this? I can see the value of the inline visualisation for code demos, testing, etc but it is not clear how I would then go about deploying any part of this into production ML environment, where the "data vis" part is less us…
Hey Sails. This is a great question! I've never used Lambda, but your question prompted two thoughts: (1) Streamlit has an interesting property which we haven't yet publicized which is that if you: python a_streamlit_sctipt.py instead of streamlit run a_streamlit_sctipt.py It runs a_streamlit_sctipt.py from top to bottom but disables all the Streamlit code! This is intended so that Streamlit scripts can doouble-duty…
> python a_streamlit_sctipt.py
This is golden, well done.
I'll do some further tinkering and create a discuss thread once I have some further insights. Thanks :)