Update app.py

app.py

@@ -19,12 +19,12 @@ nltk.download('punkt')
 from nltk.stem.porter import PorterStemmer
 stemmer = PorterStemmer()
 
-def tokenize(sentence):
+def tokenize(input_text):
     """
     split sentence into array of words/tokens
     a token can be a word or punctuation character, or number
     """
-    return nltk.word_tokenize(sentence)
+    return nltk.word_tokenize(input_text)
 
 # print(tokenize('Hello how are you'))
 
@@ -294,9 +294,9 @@ bot_name = "Sam"
 
 
 
-def get_response(input_text):
-    sentence = tokenize(input_text)
-    X = bag_of_words(sentence, all_words)
+def get_response(msg):
+    input_text= tokenize(msg)
+    X = bag_of_words(input_text, all_words)
     X = X.reshape(1, X.shape[0])
     X = torch.from_numpy(X).to(device)
 
@@ -317,12 +317,12 @@ def get_response(input_text):
 print("Let's chat! (type 'quit' to exit)")
 while True:
     # sentence = "do you use credit cards?"
-    sentence = input("You: ")
-    if sentence == "quit":
+    input_text= input("You: ")
+    if input_text== "quit":
         break
 
-    sentence = tokenize(sentence)
-    X = bag_of_words(sentence, all_words)
+    input_text= tokenize(input_text)
+    X = bag_of_words(input_text, all_words)
     X = X.reshape(1, X.shape[0])
     X = torch.from_numpy(X).to(device)