Update app.py

app.py

@@ -33,6 +33,7 @@ model.load_state_dict(model_state)
 model.eval()
 #test
 def predict(sentence, history=[]):
+    history =[]
     """
     # tokenize the new input sentence
     new_user_input_ids = tokenizer.encode(input + tokenizer.eos_token, return_tensors='pt')
@@ -48,8 +49,8 @@ def predict(sentence, history=[]):
     response = [(response[i], response[i+1]) for i in range(0, len(response)-1, 2)]  # convert to tuples of list
     """
 
-    sentence = tokenize(sentence)
-    X = bag_of_words(sentence, all_words)
+    sentence1 = tokenize(sentence)
+    X = bag_of_words(sentence1, all_words)
     X = X.reshape(1, X.shape[0])
     X = torch.from_numpy(X).to(device)
 
@@ -64,8 +65,8 @@ def predict(sentence, history=[]):
         for intent in intents['intents']:
             if tag == intent["tag"]:
                 reply = [random.choice(intent['responses'])]
-    
-    return reply
+    history.append((sentence, reply))
+    return reply, history
 
 import gradio as gr