Update app.py

app.py

@@ -28,9 +28,9 @@ def predict(input, history=[]):
     # generate a response 
     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 lines
-    response = tokenizer.decode(history[0]).replace("<|endoftext|>", "\n")
-    
+    # 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
     return response, history
 
 gr.Interface(