tuned model

app.py

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