Thanks hysts

app.py

@@ -1,7 +1,6 @@
 import shlex
 import subprocess
 
-
 subprocess.run(shlex.split("pip install pip==24.0"), check=True)
 subprocess.run(
     shlex.split(
@@ -14,12 +13,9 @@ subprocess.run(
     ), check=True
 )
 
-
 if __name__ == "__main__":
     from huggingface_hub import snapshot_download
-
     snapshot_download("public-data/Unique3D", repo_type="model", local_dir="./ckpt")
-
     import os
     import sys
     sys.path.append(os.curdir)
@@ -27,28 +23,21 @@ if __name__ == "__main__":
     torch.set_float32_matmul_precision('medium')
     torch.backends.cuda.matmul.allow_tf32 = True
     torch.set_grad_enabled(False)
-
 import fire
 import gradio as gr
 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 = '''
-
 <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.
 '''
 
@@ -63,9 +52,27 @@ def launch():
             with gr.Column(scale=1):
                 gr.Markdown('# ' + _TITLE)
         gr.Markdown(_DESCRIPTION)
+        
+        # Mensaje de agradecimiento para @hysts
+        gr.Markdown("""
+        ### Special Thanks
+        A big thank you to [@hysts](https://huggingface.co/hysts) for their help in making the "Duplicate this Space" feature work correctly!
+        """)
+        
+        # Agregamos el fragmento HTML aquí
+        gr.HTML("""
+        <div style="display: flex; flex-direction: column; justify-content: center; align-items: center; text-align: center;">
+            <p style="display: flex; gap: 6px;">
+                <a href="https://huggingface.co/spaces/cavargas10/Unico3D?duplicate=true">
+                    <img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/duplicate-this-space-lg.svg" alt="Duplicate this Space">
+                </a>
+            </p>
+            <p>to skip the queue and enjoy faster inference on the GPU of your choice</p>
+        </div>
+        """)
+        
         create_3d_ui("wkl")
-
     demo.queue().launch(share=True)
     
 if __name__ == '__main__':
-    fire.Fire(launch)
+    fire.Fire(launch)