改版面1

app.py

@@ -244,36 +244,18 @@ def make3d(images):
 
 
 _HEADER_ = '''
-<h2><b>Official 🤗 Gradio Demo</b></h2><h2><a href='https://github.com/TencentARC/InstantMesh' target='_blank'><b>IMAGE-TO-3D</b></a></h2>
+<h2><b>🤗Gradio Demo</b></h2><h2><a href='https://huggingface.co/spaces/ZZZXIANG/IMAGETO' target='_blank'><b>IMAGE-TO-3D</b></a></h2>
 
 
 ❗️❗️❗️**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).
 '''
 
 _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)
----
-📝 **Citation**
-
-If you find our work useful for your research or applications, please cite using this bibtex:
-```bibtex
-@article{xu2024instantmesh,
-  title={InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models},
-  author={Xu, Jiale and Cheng, Weihao and Gao, Yiming and Wang, Xintao and Gao, Shenghua and Shan, Ying},
-  journal={arXiv preprint arXiv:2404.07191},
-  year={2024}
-}
-```
 
 📋 **License**
 
-Apache-2.0 LICENSE. Please refer to the [LICENSE file](https://huggingface.co/spaces/TencentARC/InstantMesh/blob/main/LICENSE) for details.
-
-📧 **Contact**
-
-If you have any questions, feel free to open a discussion or contact us at <b>[email protected]</b>.
+Apache-2.0 LICENSE.
 """
 
 
@@ -317,16 +299,6 @@ with gr.Blocks() as demo:
             with gr.Row():
                 submit = gr.Button("Generate", elem_id="generate", variant="primary")
 
-            with gr.Row(variant="panel"):
-                gr.Examples(
-                    examples=[
-                        os.path.join("examples", img_name) for img_name in sorted(os.listdir("examples"))
-                    ],
-                    inputs=[input_image],
-                    label="Examples",
-                    cache_examples=False,
-                    examples_per_page=16
-                )
 
         with gr.Column():