Update app.py

app.py

@@ -1170,7 +1170,7 @@ def load_model():
     model_name = "mistralai/Mixtral-8x7B-Instruct-v0.1"
     try:
         # Load tokenizer with warning suppression
-        tokenizer = AutoTokenizer.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1", clean_up_tokenization_spaces=True)
+        tokenizer = AutoTokenizer.from_pretrained("T5Config", clean_up_tokenization_spaces=True)
 
         model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
         pipe = pipeline(
@@ -1179,7 +1179,7 @@ def load_model():
             tokenizer=tokenizer,
             device=0 if torch.cuda.is_available() else -1,
         )
-        logging.info("Mistral model loaded successfully.")
+        logging.info("Model loaded successfully.")
         return pipe
     except Exception as e:
         logging.error(f"Error loading Mistral model: {e}")