passing reactive R object to python code in Rmd?

I am wondering if there is a way to pass a reactive value, for example the result of shiny::numericInput() , as a parameter to python code in a python chunk. sample code below:

---
title: "rective R value in python code reprex"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)

library(reticulate)
library(tidyverse)
library(shiny)

non-reactive input

my_number <- 4

(note: the chunk below is a python chunk defined using {python} in the chunk header)

def my_function(x):
  return 5 * x

result = my_function(int(r.my_number))

works when kitting!

py$result

trying with reactive input

shiny::numericInput(inputId = "number_select", label = "Number", value = 4, min = 1, step = 1)

my_number <- 
  reactive(input$number_select)

(note: the chunk below is a python chunk defined using {python} in the chunk header)

def my_function(x):
  return 5 * x

# the following line results in error: 
#   Error in py_call_impl(callable, dots$args, dots$keywords) : 
#   RuntimeError: Evaluation error: Operation not allowed without an active reactive context.
# * You tried to do something that can only be done from inside a reactive consumer..

result_reactive = my_function(int(r.my_number()))

# removing the parens results in error:
  # Quitting from lines 43-54 (reprex_example.Rmd) 
  # Error in py_call_impl(callable, dots$args, dots$keywords) : 
  #   TypeError: int() argument must be a string, a bytes-like object or a number, not 'function'
  
result_reactive = my_function(int(r.my_number))

never makes it to this step whe knitting :frowning:

py$result_reactive