Is there any way to run another cell of R code which depends on current python flask app cell's input by user in google-colaboratory?

Question

I am running a flask app in google colab using flask_ngrok and in that I am asking user to upload a .pssm file. Now I want to run a R package at same time as it depends on file uploaded by user, along with app cell running (basically I want to jump back and forth to cells without affecting current cell which is running my app).

I'm using %load_ext rpy2.ipython to use R and Python in one notebook. I have seen some multithreading packages like parsl but problem is that I want R cell not Python cell.

Or Is there any other way to this problem like making request to another colab notebook and getting response in current notebook (getting a Response : csv file, Request with a: input file).

Is it possible technically?

Answer 1

I solved my problem like this:

filenm=""

%%R -i filenm -o fun1
f1<-function(filenm)
{
  d1<-NULL
  d1<-rbind(d1,some_function(filenm))
  write.csv(d1,file="/content/t1.csv")  
}

Here -i is used for passing input variable from python to R in our case "filenm" and -o is used to pass the output variable from R to python in our case we get fun1 as output in python Now that R function is converted into python so that we can use it like this:

fun1(filenm)  #in Python shell

Hope this helps ?