Update app.py

app.py

@@ -158,7 +158,7 @@ def return_selected_cluster(ques):
 def get_summary_answer(Question):
   print("question: ", Question)
   cluster_selected = return_selected_cluster(Question)
-
+  print("cluster selected - ",cluster_selected)
   temp_df = newsdf_sample[newsdf_sample.exp25==cluster_selected]
   tfidf_ques = vectorizer.transform([process_row(Question)]).todense()
   cosine_score = []