Update app.py

app.py

@@ -244,11 +244,10 @@ def make3d(images):
 
 
 _HEADER_ = '''
-<h2><b>Official 🤗 Gradio Demo</b></h2><h2><a href='https://github.com/TencentARC/InstantMesh' target='_blank'><b>InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models</b></a></h2>
+<h2><b>Official Pixio Demo</b></h2><h2><a href='https://pixio.myapps.ai' target='_blank'><b>MeshCraft: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models</b></a></h2>
 
 **InstantMesh** is a feed-forward framework for efficient 3D mesh generation from a single image based on the LRM/Instant3D architecture.
 
-Code: <a href='https://github.com/TencentARC/InstantMesh' target='_blank'>GitHub</a>. Techenical report: <a href='https://arxiv.org/abs/2404.07191' target='_blank'>ArXiv</a>.
 
 ❗️❗️❗️**Important Notes:**
 - Our demo can export a .obj mesh with vertex colors or a .glb mesh now. If you prefer to export a .obj mesh with a **texture map**, please refer to our <a href='https://github.com/TencentARC/InstantMesh?tab=readme-ov-file#running-with-command-line' target='_blank'>Github Repo</a>.
@@ -256,7 +255,7 @@ Code: <a href='https://github.com/TencentARC/InstantMesh' target='_blank'>GitHub
 '''
 
 _CITE_ = r"""
-If InstantMesh is helpful, please help to ⭐ the <a href='https://github.com/TencentARC/InstantMesh' target='_blank'>Github Repo</a>. Thanks! [![GitHub Stars](https://img.shields.io/github/stars/TencentARC/InstantMesh?style=social)](https://github.com/TencentARC/InstantMesh)
+Get Pixio Now!  <a href='https://pixio.myapps.ai' target='_blank'>Github Repo</a>.
 ---
 📝 **Citation**