Update app.py

app.py

@@ -189,32 +189,26 @@ def do_inference(input_3d, sample_seed=0, do_sampling=False, do_marching_cubes=F
     return input_save_name, input_render_res, save_name, output_render
 
 
-_HEADER_ = '''
-<h2><b>Official 🤗 Gradio Demo</b></h2><h2><a href='https://github.com/buaacyw/MeshAnythingV2' target='_blank'><b>MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization</b></a></h2>
+_HEADER_ = """
+## Step 2: Simplify the generated 3D Mesh and Shader Smooth (optional)
 
-For text/image to Artist-Created Mesh. We suggest first using <a href='https://hyperhuman.deemos.com/rodin' target='_blank'>Rodin</a> to achieve text/image to dense mesh and then input the dense mesh to us.
+ADD ILLUSTRATION
 
-**MeshAnythingV2** converts any 3D representation into meshes created by human artists, i.e., Artist-Created Meshes (AMs).
+- The 3D Mesh Generated contains too much polygons, fortunately, we can use another AI model to help us optimize it.
 
-Code: <a href='https://github.com/buaacyw/MeshAnythingV2' target='_blank'>GitHub</a>. Arxiv Paper: <a href='https://arxiv.org/abs/2406.10163' target='_blank'>ArXiv</a>.
+- The model we use is called [MeshAnythingV2](https://huggingface.co/Yiwen-ntu/MeshAnythingV2).
 
-❗️❗️❗️**Important Notes:**
-- Please Click on **Preprocess with Marching Cubes** if the input mesh is not produced by Marching Cubes.
-- Gradio doesn't support interactive wireframe rendering currently. For interactive mesh visualization, please use download the obj file and open it with MeshLab or https://3dviewer.net/.
-- The input mesh will be normalized to a unit bounding box. The up vector of the input mesh should be +Y for better results.
-- Limited by computational resources, MeshAnything is trained on meshes with fewer than 1600 faces and cannot generate meshes with more than 1600 faces. The shape of the input mesh should be sharp enough; otherwise, it will be challenging to represent it with only 1600 faces. Thus, feed-forward image-to-3D methods may often produce bad results due to insufficient shape quality.
-- For point cloud input, please refer to our github repo <a href='https://github.com/buaacyw/MeshAnythingV2' target='_blank'>GitHub</a>.
-'''
+- We can make the simplified mesh more smooth is to use Shader Smooth.
+
+- You can usually do it in Blender, but we can do it directly here. Simply -> ✅ Shader Smooth.
+
+## 💡 Tips
 
+- We don't click on Preprocess with marching Cubes, because in the last step the input mesh was produced by it.
+- Limited by computational resources, MeshAnything is trained on meshes with fewer than 1600 faces and cannot generate meshes with more than 1600 faces. The shape of the input mesh should be sharp enough; otherwise, it will be challenging to represent it with only 1600 faces. Thus, feed-forward image-to-3D methods may often produce bad results due to insufficient shape quality.
 
-_CITE_ = r"""
-If MeshAnythingV2 is helpful, please help to ⭐ the <a href='https://github.com/buaacyw/MeshAnythingV2' target='_blank'>Github Repo</a>. Thanks!
----
-📋 **License**
-MIT LICENSE. 
-📧 **Contact**
-If you have any questions, feel free to open a discussion or contact us at <b>yiwen002@e.ntu.edu.sg</b>.
 """
+
 output_model_obj = gr.Model3D(
     label="Generated Mesh (OBJ Format)",
     display_mode="wireframe",
@@ -276,8 +270,6 @@ with (gr.Blocks() as demo):
             with gr.Row():
                 gr.Markdown('''Try click random sampling and different <b>Seed Value</b> if the result is unsatisfying''')
 
-    gr.Markdown(_CITE_)
-
     mv_images = gr.State()
 
     submit.click(