tuned model

app.py

@@ -74,14 +74,11 @@ def LemNormalize(text):
   return LemTokens(nltk.word_tokenize(text.lower().translate(remove_punct_dict)))
 
 def NLTK(input):
-    try:
-        f = open('corpus.txt', errors='strict')
-        data = f.read()
-        data = data.lower()
-        sent_tokens = nltk.sent_tokenize(data)
-        return bot(sent_tokens)
-    except :
-        print("Exception")
+    f = open('corpus.txt', errors='strict')
+    data = f.read()
+    data = data.lower()
+    sent_tokens = nltk.sent_tokenize(data)
+    return bot(sent_tokens)
 
 def bot(sent_tokens):
   robo1_response = ''