tuned model

app.py

@@ -89,7 +89,7 @@ def bot(sent_tokens, input):
   idx = random.randint(0, len(vals.argsort()[0]))
   flat = vals.flatten()
   flat.sort()
-  req_tfidf = flat[-5]
+  req_tfidf = flat[-1]
   if (req_tfidf == 0):
     robo1_response= robo1_response+"I could not answer this right now but you can contact the head of our dept (PUSPHA RAJ)." # add the dept recommendation engine and contact details
     return robo1_response