Update app.py

app.py

@@ -20,17 +20,17 @@ model = BlenderbotForConditionalGeneration.from_pretrained("facebook/blenderbot-
 
 def predict(input, history=[]):
     # tokenize the new input sentence
-    new_user_input_ids = tokenizer.encode(input, return_tensors='pt')
+    new_user_input_ids = tokenizer.encode(input + tokenizer.eos_token, return_tensors='pt')
 
     # append the new user input tokens to the chat history
     bot_input_ids = torch.cat([torch.LongTensor(history), new_user_input_ids], dim=-1)
 
     # generate a response 
-    history = model.generate(**new_user_input_ids)
+    history = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id).tolist()
 
     # convert the tokens to text, and then split the responses into the right format
     response = tokenizer.decode(history[0]).split("<|endoftext|>")
-    response = [(response[i], response[i+1]) for i in range(0, len(response)-1, 2)]  # convert to tuples of list
+    response = [(response[i], response[i+1]) for i in range(0, len(response)-1, 1)]  # convert to tuples of list
     return response, history
 
 gr.Interface(