Update

app.py

@@ -146,7 +146,7 @@ def load_or_train_model():
      if os.path.exists(model_path):
          try:
              model = T5ForConditionalGeneration.from_pretrained(model_path)
-             tokenizer = T5Tokenizer.from_pretrained(model_path)
+             tokenizer = T5Tokenizer.from_pretrained(model_path, legacy=False)
              if torch.cuda.is_available():
                  model = model.cuda()
              return model, tokenizer
@@ -160,8 +160,8 @@ def train_model():
     """Train the T5 model on travel planning data"""
     try:
         # Initialize model and tokenizer
-        tokenizer = T5Tokenizer.from_pretrained('t5-base')
-        model = T5ForConditionalGeneration.from_pretrained('t5-base')
+        tokenizer = T5Tokenizer.from_pretrained('t5-base', legacy=False)
+        model = T5ForConditionalGeneration.from_pretrained('t5-base', legacy=False)
         
         # Create or load training data
         if os.path.exists('travel_data.csv'):