Update app.py

app.py

@@ -137,14 +137,18 @@ def cosine_similarity(a,b):
 
 def return_selected_cluster(ques):
   ques_clean = process_row(ques)
+  count_tokens = len(ques_clean.split())
   cluster_selected =-1
   cluster_score =0
   for clus_id in dictt_cluster_words:
     score_temp=0
+    matched_token=0
     for word in ques_clean.split():
       dictt_temp = dictt_cluster_words[clus_id]    
       if word in dictt_temp:
+        matched_token+=1
         score_temp+=dictt_temp[word]
+    score_temp*= (matched_token/count_tokens)
     if score_temp>cluster_score:
       cluster_selected = clus_id
       cluster_score = score_temp