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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=0.85,
# api_name="/run_button"
# )
result = client.predict(
image=file('https://stabilityai-stable-fast-3d.hf.space/file=/tmp/gradio/cedf71215ac1d8f6d44cd9cc94a65c5c2b5b76b0/banana.jpg'),
fr=0.85,
api_name="/requires_bg_remove"
)
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)
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