Spaces:
Runtime error
Runtime error
File size: 1,390 Bytes
4d5296b 1ca0068 4d5296b 82e1020 4d5296b d6394b6 1ca0068 82e1020 005b6c9 4d5296b 82e1020 4d5296b 5bf4118 4d5296b 1ca0068 80ea7a7 82e1020 8e9fc47 |
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 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
#!/usr/bin/env python
import gradio as gr
import PIL.Image
from gradio_client import Client
lgm_mini_client = Client("dylanebert/LGM-mini")
triposr_client = Client("stabilityai/TripoSR")
import gradio as gr
import os
from gradio_client import Client
lgm_mini_client = Client("dylanebert/LGM-mini")
triposr_client = Client("stabilityai/TripoSR")
def run(image, model_name):
file_path = "temp.png"
image.save(file_path)
if model_name=='lgm-mini':
result = lgm_mini_client.predict(
file_path, # filepath in 'image' Image component
api_name="/run"
)
output = result
elif model_name=='triposr':
process_result = triposr_client.predict(
file_path, # filepath in 'Input Image' Image component
True, # bool in 'Remove Background' Checkbox component
0.85, # float (numeric value between 0.5 and 1.0) in 'Foreground Ratio' Slider component
api_name="/preprocess")
result = triposr_client.predict(
process_result, # filepath in 'Processed Image' Image component
256, # float (numeric value between 32 and 320) in 'Marching Cubes Resolution' Slider component
api_name="/generate")
output = result[0]
return output
demo = gr.Interface(
fn=run,
inputs=[gr.Image(type="pil"),gr.Textbox("Model Name")],
outputs=gr.Model3D(label="3D Model"),
)
demo.launch() |