Hello,
situation: i have a working shiny app (with eg; a linear regression function in)
What i want : create a shiny for python app (ui is no problem, but the backend(server) is a problem
questions:
is it possible to do without that i have to build the model completly again from scratch in python?
how is the code looking for lm and predict in python?
3 is there good documentation on?
4 is shiny for R (so you can run the app in a browser), completly deactivated, i can not reach the site to do so like before?
Kind regards and thx for your time,
Nobel
Yes, but you have to think about the architecture slightly differently. In this case, you could serve the R model using vetiver, which will take the R model object and make it an API that the Python Shiny app would call.
I'm not quite sure what you're asking for the other questions, but in general, Shiny for R will always continue to exist. Shiny for Python is incremental to, not a replacement of Shiny for R.
You can also run R in python using rpy2: Calling R From Python With rpy2 · R Views it would probably complicate deployment, but it is possible and might be simplest depending how complicated your model is.
