Update app.py

app.py

@@ -15,7 +15,7 @@ subprocess.run(
 
 if __name__ == "__main__":
     from huggingface_hub import snapshot_download
-    snapshot_download("public-data/Unique3D", repo_type="model", local_dir="./ckpt")
+    snapshot_download("cavargas10/Unique3D", repo_type="model", local_dir="./ckpt")
     import os
     import sys
     sys.path.append(os.curdir)
@@ -28,35 +28,22 @@ 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.
+_TITLE = """UTPL - Conversión de Imagen a objetos 3D usando IA"""
+_DESCRIPTION = """
+### Tesis: *"Objetos tridimensionales creados por IA: Innovación en entornos virtuales"*  
 
-<div style="display: flex; flex-direction: column; justify-content: center; align-items: center; text-align: center; margin-top: 20px;">
-    <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>Click the button above to duplicate this space and enjoy faster inference on the GPU of your choice.</p>
-    <p style="margin-top: 10px;">Special thanks to <strong>@hysts</strong> for helping to make the "Duplicate this Space" functionality work correctly!</p>
-</div>
-'''
+**Autor:** Carlos Vargas  
+<br>  
+**Base técnica:** Adaptación de [Unique3D](https://wukailu.github.io/Unique3D/) (herramientas de código abierto para generación 3D)  
+<br>  
+**Propósito educativo:** Demostraciones académicas e Investigación en modelado 3D automático  
+"""
 
 def launch():
     model_zoo.init_models()
         
     with gr.Blocks(
         title=_TITLE,
-        # theme=gr.themes.Monochrome(),
     ) as demo:
         with gr.Row():
             with gr.Column(scale=1):