Update app.py

app.py

@@ -85,8 +85,10 @@ def inference(img):
     convert = (npimage * 255).astype('uint8')
     return convert
   
-title = "AnimeGANv2"
-description = "Gradio Demo for AnimeGanv2 Face Portrait. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below. Please use a cropped portrait picture for best results similar to the examples below."
-article = "<p style='text-align: center'><a href='https://github.com/bryandlee/animegan2-pytorch' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_animegan' alt='visitor badge'></center> <p style='text-align: center'>samples from repo: <img src='https://user-images.githubusercontent.com/26464535/129888683-98bb6283-7bb8-4d1a-a04a-e795f5858dcf.gif' alt='animation'/> <img src='https://user-images.githubusercontent.com/26464535/137619176-59620b59-4e20-4d98-9559-a424f86b7f24.jpg' alt='animation'/><img src='https://user-images.githubusercontent.com/26464535/127134790-93595da2-4f8b-4aca-a9d7-98699c5e6914.jpg' alt='animation'/></p>"
+title = "JojoGAN"
+description = "Gradio Demo for JoJoGAN: One Shot Face Stylization. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
 
-gr.Interface(inference, [gr.inputs.Image(type="pil")], gr.outputs.Image(type="numpy"),title=title,description=description,article=article,enable_queue=True,allow_flagging=False).launch()
+article = "<p style='text-align: center'><a href='https://github.com/mchong6/JoJoGAN' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_jojogan' alt='visitor badge'></center> <p style='text-align: center'>samples from repo: <img src='https://github.com/mchong6/JoJoGAN/blob/main/teaser.jpg' alt='animation'/></p>"
+
+examples=[['iu.jpeg']]
+gr.Interface(inference, [gr.inputs.Image(type="pil")], gr.outputs.Image(type="numpy"),title=title,description=description,article=article,enable_queue=True,allow_flagging=False,examples=examples).launch()