Update app.py

app.py

@@ -1,10 +1,10 @@
 import gradio as gr
-from transformers import T5ForConditionalGeneration, RobertaTokenizer
+from transformers import T5ForConditionalGeneration, AutoTokenizer
 import torch
 
 # Load the quantized model and tokenizer from Hugging Face Hub
 quantized_model = T5ForConditionalGeneration.from_pretrained("AbdulHadi806/codeT5-finetuned-LaTexToPythonCode-30kDataset")
-tokenizer = RobertaTokenizer.from_pretrained("AbdulHadi806/codeT5-finetuned-LaTexToPythonCode-30kDataset")
+tokenizer = AutoTokenizer.from_pretrained("AbdulHadi806/codeT5-finetuned-LaTexToPythonCode-30kDataset")
     
 def preprocess_infer_input(text):
     # Assuming the input is already a string, we don't need to access it as a dictionary