Update web_demo.py

web_demo.py

@@ -265,9 +265,28 @@ def _launch_demo(model, tokenizer, audio_tokenizer):
 
 
 
+    font_size = "2.5em"
+    html = f"""
+    <p align="center" style="font-size: {font_size}; line-height: 1;">
+        <span style="display: inline-block; vertical-align: middle;">VITA-Audio-Plus-Vanilla</span>
+    </p>
+    <center>
+    <font size=3>
+    <p>
+        <b>Long-VITA</b> has been fully open-sourced on <a href='https://huggingface.co/VITA-MLLM'>😊 Huggingface</a> and <a href='https://github.com/VITA-MLLM/VITA-Audio'>🌟 GitHub</a>. If you find VITA-Audio useful, a like❤️ or a star🌟 would be appreciated.
+    </p>
+    </font>
+    <font size=3>
+    <p>
+        The deployment of the VITA-Audio-Plus-Vanilla model employs a non-streaming deployment approach. The currently deployed model is VITA-Audio-Plus-Vanilla. For the ASR and TTS tasks, only single-turn dialogues are supported. In the Spoken QA task, generated text is used as dialogue history to reduce the context length.
+    </p>
+    </font>
+    </center>
+    """
+
     with gr.Blocks(title="VITA-Audio-Plus-Vanilla") as demo:
-        gr.Markdown("""<center><font size=8>VITA-Audio-Plus-Vanilla</center>""")
-        gr.Markdown("""<center><font size=4>The deployment of the VITA-Audio-Plus-Vanilla model employs a non-streaming deployment approach. The currently deployed model is VITA-Audio-Plus-Vanilla. For the ASR and TTS tasks, only single-turn dialogues are supported. In the Spoken QA task, generated text is used as dialogue history to reduce the context length.</center>""")
+        gr.HTML(html)
+        
         chatbot = gr.Chatbot(label='VITA-Audio-Plus-Vanilla', elem_classes="control-height", height=500)
         query = gr.Textbox(lines=2, label='Text Input')
         task_history = gr.State([])