Update app.py

app.py

@@ -2,8 +2,6 @@ from PIL import Image
 import torch
 import gradio as gr
 
-
-
 model2 = torch.hub.load(
     "AK391/animegan2-pytorch:main",
     "generator",
@@ -12,12 +10,12 @@ model2 = torch.hub.load(
     progress=False
 )
 
-
 model1 = torch.hub.load("AK391/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1",  device="cuda")
 face2paint = torch.hub.load(
     'AK391/animegan2-pytorch:main', 'face2paint', 
     size=512, device="cuda",side_by_side=False
 )
+
 def inference(img, ver):
     if ver == 'version 2 (🔺 robustness,🔻 stylization)':
         out = face2paint(model2, img)
@@ -28,6 +26,22 @@ def inference(img, ver):
 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>"
-examples=[['groot.jpeg','version 2 (🔺 robustness,🔻 stylization)'],['bill.png','version 1 (🔺 stylization, 🔻 robustness)'],['tony.png','version 1 (🔺 stylization, 🔻 robustness)'],['elon.png','version 2 (🔺 robustness,🔻 stylization)'],['IU.png','version 1 (🔺 stylization, 🔻 robustness)'],['billie.png','version 2 (🔺 robustness,🔻 stylization)'],['will.png','version 2 (🔺 robustness,🔻 stylization)'],['beyonce.png','version 1 (🔺 stylization, 🔻 robustness)'],['gongyoo.jpeg','version 1 (🔺 stylization, 🔻 robustness)']]
-gr.Interface(inference, [gr.inputs.Image(type="pil"),gr.inputs.Radio(['version 1 (🔺 stylization, 🔻 robustness)','version 2 (🔺 robustness,🔻 stylization)'], type="value", default='version 2 (🔺 robustness,🔻 stylization)', label='version')
-], gr.outputs.Image(type="pil"),title=title,description=description,article=article,examples=examples,allow_flagging=False,allow_screenshot=False).launch()
+
+gr.Interface(
+    fn=inference,
+    inputs=[
+        gr.inputs.Image(type="pil"),
+        gr.inputs.Radio(
+            ['version 1 (🔺 stylization, 🔻 robustness)', 'version 2 (🔺 robustness,🔻 stylization)'],
+            type="value",
+            default='version 2 (🔺 robustness,🔻 stylization)',
+            label='version'
+        )
+    ],
+    outputs=gr.outputs.Image(type="pil"),
+    title=title,
+    description=description,
+    article=article,
+    allow_flagging=False,
+    allow_screenshot=False
+).launch()