Update app.py

app.py

@@ -9,7 +9,7 @@ nltk.download('punkt')
 from nltk.tokenize import sent_tokenize
 
 # Define the path to the saved model zip file (ensure there is no extra space)
-zip_model_path = 'bart_model-20240724T051306Z-001.zip'
+zip_model_path = 'bartzip.zip'
 
 # Define the directory to extract the model
 model_dir = './model'
@@ -28,7 +28,7 @@ print("Model Path:", model_path)
 if not os.path.exists(model_path):
     st.error(f"Model directory {model_path} does not exist or is incorrect.")
     # Print out contents of model_dir for further debugging
-    print("Contents of model_dir:", os.listdir(model_dir))
+    # print("Contents of model_dir:", os.listdir(model_dir))
 else:
     # Load the tokenizer and model from the extracted directory
     tokenizer = BartTokenizer.from_pretrained(model_path)