Update app.py

app.py

@@ -33,7 +33,7 @@ random_forest = joblib.load('./random_forest.pkl')
 def classify(text,choice):
   corpus=[text]
   if(choice == 1):
-      corpus = preprocess_for_bow(text)
+      corpus = preprocess_for_bow_and_tfidf(text)
       features = vectorizer.transform(corpus).toarray()
       prediction = nb_classifier.predict(features)
   elif(choice == 2):