Update app.py

app.py

@@ -34,22 +34,8 @@ from gradio_app.gradio_3dgen import create_ui as create_3d_ui
 from gradio_app.all_models import model_zoo
 
 
-_TITLE = '''Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image'''
-_DESCRIPTION = '''
+_TITLE = '''Text to 3D'''
 
-<div>
-    <a style="display:inline-block" href='https://github.com/AiuniAI/Unique3D'><img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/AiuniAI/Unique3D?style=social">
-</a>
-    <img alt="GitHub License" src="https://img.shields.io/github/license/AiuniAI/Unique3D">
-</div>
-
-# [Paper](https://arxiv.org/abs/2405.20343) | [Project page](https://wukailu.github.io/Unique3D/) | [Huggingface Demo](https://huggingface.co/spaces/Wuvin/Unique3D) | [Gradio Demo](http://unique3d.demo.avar.cn/) | [Online Demo](https://www.aiuni.ai/)
-
-* High-fidelity and diverse textured meshes generated by Unique3D from single-view images.
-
-* The demo is still under construction, and more features are expected to be implemented soon.
-
-* If the Huggingface Demo is overcrowded or fails to produce stable results, you can use the Online Demo [aiuni.ai](https://www.aiuni.ai/), which is free to try (get the registration invitation code Join Discord: https://discord.gg/aiuni). However, the Online Demo is slightly different from the Gradio Demo, in that the inference speed is slower, but the generation is much more stable.
 '''
 
 def launch():
@@ -62,7 +48,6 @@ def launch():
         with gr.Row():
             with gr.Column(scale=1):
                 gr.Markdown('# ' + _TITLE)
-        gr.Markdown(_DESCRIPTION)
         create_3d_ui("wkl")
 
     demo.queue().launch(share=True)