Update app.py

app.py

@@ -9,7 +9,8 @@ def predict(input, history=[]):
   new_user_input_ids = tokenizer.encode(input + tokenizer.eos_token, return_tensors='pt')
   bot_input_ids = torch.cat([torch.LongTensor(history), new_user_input_ids], dim=-1)
   history = model.generate(bot_input_ids, max_length=500, pad_token_id=tokenizer.eos_token_id).tolist()
-  response = tokenizer.decode(history[0]).replace("<|endoftext|>", "\n")
+  response = tokenizer.decode(history[0]).split("<|endoftext|>")
+  response.remove("")
   
   html = "<div class='chatbot'>"
   for m, msg in enumerate(response):