model name changed

app.py

@@ -3,8 +3,8 @@ from transformers import T5ForConditionalGeneration, RobertaTokenizer
 import torch
 
 # Load the quantized model and tokenizer from Hugging Face Hub
-quantized_model = T5ForConditionalGeneration.from_pretrained("AbdulHadi806/codet5-finetuned-latest-quantized")
-tokenizer = RobertaTokenizer.from_pretrained("AbdulHadi806/codet5-finetuned-latest-quantized")
+quantized_model = T5ForConditionalGeneration.from_pretrained("AbdulHadi806/codeT5-finetuned-LaTexToPythonCode-30kDataset")
+tokenizer = RobertaTokenizer.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