Update app.py

app.py

@@ -78,20 +78,18 @@ css = """
       .message { font-size: 1.2em; }
       """
 
-with gr.Blocks(css=css) as demo: 
-# with gr.Blocks() as demo: 
-
-    gr.Markdown("""# <p align="center">Sydney-AI <p> <b>""")
+with gr.Blocks(css=css) as demo:
+    
     state = gr.State(get_empty_state())
 
 
     with gr.Column(elem_id="col-container"):
         gr.Markdown("""
-# # Sydney-AI <b>
-# <p align="left"> This app is an intelligent online chat app developed based on the newly released OpenAI API "gpt-3.5-turbo". The app's operating costs are sponsored by "45度科研人". Currently, the tokens is limited to 3000. If you want to remove this restriction, you can input your own OpenAI API key.<p>
-# <p align="left"> The default model role of the app is the original assistant of ChatGPT, but you can also choose from the provided roles. <p>
-# <p align="left"> Two adjustable parameters are provided to optimize the model: temperature, where a larger value leads to more creative replies, and max tokens, where a larger value allows the model to reply with more content. <p>
-# APP link: https://junchuanyu-sydney-ai.hf.space""",elem_id="header")
+# Sydney-AI <b>
+<p align="left"> This app is an intelligent online chat app developed based on the newly released OpenAI API "gpt-3.5-turbo". The app's operating costs are sponsored by "45度科研人". Currently, the tokens is limited to 3000. If you want to remove this restriction, you can input your own OpenAI API key.<p>
+<p align="left"> The default model role of the app is the original assistant of ChatGPT, but you can also choose from the provided roles. <p>
+<p align="left"> Two adjustable parameters are provided to optimize the model: temperature, where a larger value leads to more creative replies, and max tokens, where a larger value allows the model to reply with more content. <p>
+APP link: https://junchuanyu-sydney-ai.hf.space""",elem_id="header")
 
         with gr.Row():
             with gr.Column():
@@ -110,22 +108,17 @@ with gr.Blocks(css=css) as demo:
                     max_tokens = gr.Slider(minimum=100, maximum=4096, value=1000, step=1, interactive=True, label="Max tokens per response")
                 # gr.Markdown("![](https://dunazo.oss-cn-beijing.aliyuncs.com/blog/wechat-simple.png)",elem_id="header")
                 
-    # gr.Markdown("""
-    #                         <div align=center>Sydney-AI正在升级改版，优化输出显示和promp问题，新版近期上线，请关注[45度科研人]公众号信息!</div>
-    #                         <div align=center><img width = '200' height ='200' src ="https://dunazo.oss-cn-beijing.aliyuncs.com/blog/wechat-simple.png"/></div>""", elem_id="header")
-   
                 gr.Markdown("""
                             you can follow the WeChat public account [45度科研人] and leave me a message!
                             <div align=center><img width = '200' height ='200' src ="https://dunazo.oss-cn-beijing.aliyuncs.com/blog/wechat-simple.png"/></div>""", elem_id="header")
-   
     btn_submit.click(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, state], [input_message, chatbot, total_tokens_str, state])
     input_message.submit(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, state], [input_message, chatbot, total_tokens_str, state])
     btn_clear_conversation.click(clear_conversation, [], [input_message, chatbot, total_tokens_str, state])
     prompt_template.change(on_prompt_template_change, inputs=[prompt_template], outputs=[prompt_template_preview])
     user_token.change(on_token_change, inputs=[user_token], outputs=[])
 
-     
+    
     demo.load(download_prompt_templates, inputs=None, outputs=[prompt_template])
 
 
-demo.launch(debug=False)
+demo.launch(debug=True, height='800px')