Update app.py

app.py

@@ -305,24 +305,22 @@ async def text_to_speech_edge(text, language_code):
 
 
 with gr.Blocks(title="ChatGLM2-6B-int4", theme=gr.themes.Soft(text_size="sm")) as demo:
-    # gr.HTML("""<h1 align="center">ChatGLM2-6B-int4</h1>""")
+    gr.HTML("<center>"
+            "<h1>🥳💕🎶 - ChatGLM2 + 声音克隆：和你喜欢的角色畅所欲言吧！</h1>"
+            "</center>")
+    gr.Markdown("### <center>💡 - 第二代ChatGLm大语言模型 + FreeVC变声，为您打造独一无二的沉浸式对话体验</center>")
+    gr.Markdown("### <center>🌊 - 更多精彩应用，敬请关注[滔滔AI](http://www.talktalkai.com)；滔滔AI，为爱滔滔！💕</center>")
+
     gr.HTML(
-        """<center><a href="https://huggingface.co/spaces/mikeee/chatglm2-6b-4bit?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>To avoid the queue and for faster inference Duplicate this Space and upgrade to GPU</center>"""
+        """<center><a href="https://huggingface.co/spaces/kevinwang676/FreeVC?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>点击此按钮即可复制该程序；切换到GPU环境后，就可以更快运行GLM2</center>"""
     )
 
+
     with gr.Accordion("📒 相关信息", open=False):
-        _ = f"""
-            ## {model_name}
-            Try to refresh the browser and try again when  occasionally an error occurs.
-            With a GPU, a query takes from a few seconds to a few tens of seconds, dependent on the number of words/characters
-            the question and responses contain. The quality of the responses varies quite a bit it seems. Even the same
-            question with the same parameters, asked at different times, can result in quite different responses.
+        _ = f""" ChatGLM2 可选参数的信息：
             * Low temperature: responses will be more deterministic and focused; High temperature: responses more creative.
             * Suggested temperatures -- translation: up to 0.3; chatting: > 0.4
             * Top P controls dynamic vocabulary selection based on context.
-            For a table of example values for different scenarios, refer to [this](https://community.openai.com/t/cheat-sheet-mastering-temperature-and-top-p-in-chatgpt-api-a-few-tips-and-tricks-on-controlling-the-creativity-deterministic-output-of-prompt-responses/172683)
-            If the instance is not on a GPU (T4), it will be very slow. You can try to run the colab notebook [chatglm2-6b-4bit colab notebook](https://colab.research.google.com/drive/1WkF7kOjVCcBBatDHjaGkuJHnPdMWNtbW?usp=sharing) for a spin.
-            The T4 GPU is sponsored by a community GPU grant from Huggingface. Thanks a lot!
             """
         gr.Markdown(dedent(_))
     chatbot = gr.Chatbot()