add some changes

NLTK_model/nltk_nlp.py

@@ -140,6 +140,8 @@ print("Accuracy is:", classify.accuracy(classifier, test_data))
 # custom_text = "This is a very good supplier. but there was some delay in shipping."
 custom_text = "This is a very good supplier. but there was some delay in shipping. but it is okay."
 
+
+
 custom_tokens = remove_noise(word_tokenize(custom_text))
 
 # Test print