step_profile for categorical pdp

following code here:

slightly modified code :

grid <- 
  recipe(target ~ ., data = df) %>% 
  step_profile(all_predictors(), -target, profile = vars(my_var)) %>% 
  prep() %>% 

predict(workflow_fit, grid) %>% 
  bind_cols(grid %>% select(my_var)) %>% 
  ggplot(aes(y = .pred, x = my_var)) + 

Worked flawlessly for numerical variables.
I have tried to apply the same procedure for categorical variables but all bars have the same lenght.

any hint on getting pdp plots for categorical variables using tidymodels?

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