import os os.system("hub install deoldify==1.0.1") import gradio as gr import paddlehub as hub from pathlib import Path model = hub.Module(name='deoldify') def inference(image): model.predict(image.name) return './output/DeOldify/'+Path(image.name).stem+".png" title = "DeOldify" description = "Gradio demo for DeOldify. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below." article = "

Github Repo

" examples=[['lunch.jpeg']] iface = gr.Interface(inference, inputs=gr.inputs.Image(type="file"), outputs=gr.outputs.Image(type="file"),examples=examples,enable_queue=True,title=title,article=article,description=description) iface.launch()