Update app.py

app.py

@@ -19,19 +19,18 @@ with open('./intents.json', 'r') as json_data:
 
 FILE = "./data.pth"
 data = torch.load(FILE)
-model_state = torch.load("chatmodel.pth", map_location=torch.device('cpu'))
 
 input_size = data["input_size"]
 hidden_size = data["hidden_size"]
 output_size = data["output_size"]
 all_words = data['all_words']
 tags = data['tags']
-#model_state = data["model_state"]
+model_state = data["model_state"]
 
 model = NeuralNet(input_size, hidden_size, output_size).to(device)
 model.load_state_dict(model_state)
 model.eval()
-#test
+
 def predict(sentence, history):
     history = history or []
     """
@@ -65,7 +64,9 @@ def predict(sentence, history):
         for intent in intents['intents']:
             if tag == intent["tag"]:
                 reply = [random.choice(intent['responses'])]
-    reply = "Sorry I do not understand :-("
+    else:
+        reply = ["Sorry I do not understand :-("]
+        
     history.append((sentence, reply))
     return history, history