Update app.py

app.py

@@ -9,23 +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]).split("<|endoftext|>")
-  response.remove("")
-  
-  html = "<div class='chatbot'>"
-  for m, msg in enumerate(response):
-    cls = "user" if m%2 == 0 else "bot"
-    html += "<div class='msg {}'> {}</div>".format(cls, msg)
-  html += "</div>"
+  response = tokenizer.decode(history[0]).replace("<|endoftext|>", "\n")
   
   return response, history
 
-css = """
-.chatbox {display:flex;flex-direction:column}
-.msg {padding:4px;margin-bottom:4px;border-radius:4px;width:80%}
-.msg.user {background-color:cornflowerblue;color:white}
-.msg.bot {background-color:darkgray;align-self:self-end}
-.footer {display:none !important}
-"""
-
-gr.Interface(fn=predict, theme="grass", title="Chatbot Two", inputs=[gr.inputs.Textbox(placeholder="Write a text message as if writing a text message to a human."), "state"], outputs=["html", "state"], css=css).launch()
+gr.Interface(fn=predict, theme="grass", title="Chatbot Two", inputs=[gr.inputs.Textbox(placeholder="Write a text message as if writing a text message to a human."), "state"], outputs=["text", "state"], css=".footer {display:none !important}").launch()