Update app.py

app.py

@@ -244,23 +244,24 @@ 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>Welcome to 3DFusion!</b></h2>
+<h2><a href='https://github.com/TencentARC/InstantMesh' target='_blank'><b>3D Mesh Generation from Single Images with 3DFusion</b></a></h2>
 
-**InstantMesh** is a feed-forward framework for efficient 3D mesh generation from a single image based on the LRM/Instant3D architecture.
+3DFusion is a cutting-edge, efficient 3D mesh generation tool based on the powerful 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>.
+Code and Original Framework: <a href='https://github.com/TencentARC/InstantMesh' target='_blank'>InstantMesh GitHub</a>. Technical 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>.
-- The 3D mesh generation results highly depend on the quality of generated multi-view images. Please try a different **seed value** if the result is unsatisfying (Default: 42).
+❗️**Important Notes:**
+- This demo exports both `.obj` and `.glb` meshes, including vertex colors.
+- The 3D mesh generation depends on the quality of generated multi-view images, so try different seed values (default: 42) for optimal results.
 '''
 
 _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)
+If you find **3DFusion** helpful, please give a ⭐ to the original <a href='https://github.com/TencentARC/InstantMesh' target='_blank'>InstantMesh repository</a>. We appreciate the work of the TencentARC team! [![GitHub Stars](https://img.shields.io/github/stars/TencentARC/InstantMesh?style=social)](https://github.com/TencentARC/InstantMesh)
 ---
 📝 **Citation**
 
-If you find our work useful for your research or applications, please cite using this bibtex:
+If you use this work for research or applications, cite it as follows:
 ```bibtex
 @article{xu2024instantmesh,
   title={InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models},