Xgboost very long to run

Using Streamlit
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Hello there,

New to Streamlit and Machine Learning.
I have created a streamlit app that run really well locally.
AS soon as it is deployed, 2 of my 3 models are running smoothly (random forest and LightGBM), but a big long wait to charge XGBoost.

I have spent all day trying to fix the time loading issue on XGBoost.
I think that I do not load my JOBLIB dump correctly and instead of calling the pkl file, I re train and evaluate the models… But spent so many hours trying so many things… I finally commit to ask the community !

Thanks for your help.

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