Update app.py

app.py

@@ -76,13 +76,13 @@ with model_results:
 
         # instantiating count vectorizor
         count = CountVectorizer(stop_words=stop_words)
-        X_train = pickle.load(open('X_train', 'rb'))
+        X_train = pickle.load(open("C:\Users\User\Downloads\X_train", 'rb'))
         X_test = lemmatized_output
         X_train_count = count.fit_transform(X_train)
         X_test_count = count.transform(X_test)
 
         # loading in model
-        final_model = pickle.load(open('bayes', 'rb'))
+        final_model = pickle.load(open("C:\Users\User\Downloads\bayes", 'rb'))
 
         # apply model to make predictions
         prediction = final_model.predict(X_test_count[0])