Update app.py

app.py

@@ -32,8 +32,8 @@ model = NeuralNet(input_size, hidden_size, output_size).to(device)
 model.load_state_dict(model_state)
 model.eval()
 #test
-def predict(sentence, history=[]):
-    history =[]
+def predict(sentence, history):
+    history = history
     """
     # tokenize the new input sentence
     new_user_input_ids = tokenizer.encode(input + tokenizer.eos_token, return_tensors='pt')
@@ -66,8 +66,7 @@ def predict(sentence, history=[]):
             if tag == intent["tag"]:
                 reply = [random.choice(intent['responses'])]
     history.append((sentence, reply))
-    response = [(history[i], history[i+1]) for i in range(0, len(history)-1, 2)] 
-    return response, history
+    return history, history
 
 import gradio as gr