How can I run LIME on text data using random forest in R

Question

I am trying to run LIME on text data with a random forest model using R. However, while running the 'lime::explain' function, I am continuously getting an error "Error in as.data.frame.default(newdata, stringsAsFactors = TRUE): cannot coerce class 'structure("dgCMatrix", package = "Matrix")' to a data.frame". I have tried everything I could to solve it but unable to do it by myself. Can someone help me, please?

For reference, I am using an example"https://www.shirin-glander.de/2018/07/explaining_ml_models_code_text_lime/"

rf <- train(x = as.matrix(dtm_train2),
y = factor(clothing_reviews_train$Liked),
method = "ranger",
num.trees = 10,
importance = "impurity"
)

explainer <- lime(clothing_reviews_train$text, 
 congress_rf,
preprocess = create_dtm_mat)

explanations <- lime::explain(clothing_reviews_test$text[1:4], explainer, n_labels = 1, n_features = 5)