updates

utils.py

@@ -6,6 +6,7 @@ import pickle
 import random
 from nltk.tokenize import word_tokenize
 import string
+import nltk
 
 
 def encode(texts, model, intent, contexts=None, do_norm=True):
@@ -218,6 +219,7 @@ def read_files_negative(path1, path2):
 
 def intent_classification(question, answer, tag_model):
     greetings = ["hi", "hello", "greeting", "greetings", "hii", "helo", "hellow"]
+    nltk.download("punkt")
     tokens = word_tokenize(answer.lower())
     for token in tokens:
         if token in greetings: