Update app.py

app.py

@@ -5,8 +5,8 @@ import pickle
 filename = 'sentiment_model.pkl'
 
 # Open the file in write binary ('wb') mode and save the model using pickle.dump()
-with open(filename, 'wb') as file:
-    pickle.dump(nb_classifier, file)
+with open(filename, 'rb') as file:
+    nb_classifier=pickle.load(file)
 
 def predict_sentiment(text_input):
     text_vector = vectorizer.transform([text])