What I would like to achieve is to show the IPython Output of Pycaret in a streamlit app that you can see when you run PyCaret in a JupyterNotebook (setup, compare_models()m etc.) (see screenshot). That would provide the user some feedback on the progress (especially when using compare_models()) and also to have the opportunity to enter an input when needed (e.g. preprocessing data - select data type).
I read in this streamlit post that if you can access the html content of your object, you can show it in streamlit with an html component. (Integrating streamlit and jupyter notebook's IPython.display). This is why I am wondering how to access either the html object or access the IPython runtime display.
1.) Is this the right approach or is there an easier way to show the interactive results from JupyterNotebook/Pycaret directly in Streamlit?
2.) If this is the right approach, how can I access the html/IPython output from setup(), or compare_models()I have been googling, reading the documentation and went through the source code but I was not able to find something that would help me.
I appreciate any ideas, links and thoughts.
Thank you and kind regards
Additional links that I found that relate to the topic but did not help me
PyCaret - How to have similar output in Spyder as Jupyter Notebook - Stack Overflow
setting the html parameter in the setup function to turn off the IPython Interactivity.
5 things you are doing wrong in PyCaret | by Moez Ali | Towards Data Science
I found out about the pycaret pull() function. This saves the final result in a dataframe but misses the interactivity (like progress bar, input etc) and is also not available for the setup() function.