GEE s2cloudless w/ python API — view folium map as geemap?

[approximatingEarth]

I recently ran this google developer team's s2cloudless notebook for my AOI (cloudy Puerto Rico) in jupyter notebook: https://developers.google.com/earth-engine/tutorials/community/sentinel-2-s2cloudless
The last cell maps the s2cloudless imagery output as a folium map; however, I would like to have the s2cloudless imagery to begina a supervised classification model. geemap will allow me to perform such an analysis with the GEE python API, within jupyter notebook -- I don't think I can achieve this with a folium map.

Question:

How could I show the final s2cloudless data as a geemap? What code could I use?

Thank you in advance for your consideration and support!

[giswqs]

See https://gist.github.com/giswqs/f02b89fdc68b59ebf79f436662595048