File size: 996 Bytes
925f9a1
33e2e78
14c0cc4
925f9a1
2bd8449
925f9a1
24ca496
925f9a1
2bd8449
925f9a1
 
2bd8449
24ca496
2bd8449
 
925f9a1
33e2e78
 
 
 
 
2bd8449
 
 
 
 
 
925f9a1
2bd8449
5df6063
925f9a1
 
 
14c0cc4
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
import gradio as gr
# get_model3d() returns the file path to sample 3D models included with Gradio
from gradio.media import get_model3d, MEDIA_ROOT


def load_mesh(mesh_file_name):
    return mesh_file_name


demo = gr.Interface(
    fn=load_mesh,
    inputs=gr.Model3D(label="Other name", display_mode="wireframe"),
    outputs=gr.Model3D(
        clear_color=(0.0, 0.0, 0.0, 0.0), label="3D Model", display_mode="wireframe"
    ),
    examples=[
        [get_model3d("Bunny.obj")],
        [get_model3d("Duck.glb")],
        [get_model3d("Fox.gltf")],
        [get_model3d("face.obj")],
        [get_model3d("sofia.stl")],
        [
            "https://huggingface.co/datasets/dylanebert/3dgs/resolve/main/bonsai/bonsai-7k-mini.splat"
        ],
        [
            "https://huggingface.co/datasets/dylanebert/3dgs/resolve/main/luigi/luigi.ply"
        ],
    ],
    cache_examples=True,
    api_name="predict",
)

if __name__ == "__main__":
    demo.launch(allowed_paths=[str(MEDIA_ROOT)])