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'))
 
@@ -295,8 +295,8 @@ bot_name = "Sam"
 
 
 def get_response(msg):
-    sentence= tokenize(msg)
-    X = bag_of_words(sentence, all_words)
+    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)
 
@@ -318,14 +318,16 @@ print("Let's chat! (type 'quit' to exit)")
 while True:
     # sentence = "do you use credit cards?"
     try:
-        sentence= input("You: ")
+        input_text= input("You: ")
+        if input_text== "Quit":
+            break
     except EOFError as e:
         print(end="")
-    if sentence== "quit":
-        break
+    #if sentence== "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)