app.py

import gradio as gr
from gradio_client import Client, file

# def greet(name, intensity):
#     return "Hello, " + name + "!" * int(intensity)

def test(text):

    client = Client("stabilityai/stable-fast-3d")

    result = client.predict(
        input_image=file('https://stabilityai-stable-fast-3d.hf.space/file=/tmp/gradio/cedf71215ac1d8f6d44cd9cc94a65c5c2b5b76b0/banana.jpg'),
        foreground_ratio=file('https://stabilityai-stable-fast-3d.hf.space/file=/tmp/gradio/cedf71215ac1d8f6d44cd9cc94a65c5c2b5b76b0/banana.jpg'),
        api_name="/run_button"
    )

    # client = Client("stabilityai/TripoSR")
    # result = client.predict(
    #         "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png",	# filepath  in 'Processed Image' Image component
    #         32,	# float (numeric value between 32 and 320) in 'Marching Cubes Resolution' Slider component
    #         api_name="/generate"
    # )

    return result


# demo = gr.Interface(
#     fn=greet,
#     inputs=["text", "slider"],
#     outputs=["text"],
# )
demo = gr.Interface(
    fn=test,
    inputs=["text"],
    outputs=["text"],
)

demo.launch(share=True)