clear info

app.py

@@ -9,21 +9,27 @@ model2 = torch.hub.load(
     device="cpu",
     progress=False
 )
-model1 = torch.hub.load("AK391/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1",  device="cpu")
+model1 = torch.hub.load("AK391/animegan2-pytorch:main",
+                        "generator", pretrained="face_paint_512_v1",  device="cpu")
 face2paint = torch.hub.load(
-    'AK391/animegan2-pytorch:main', 'face2paint', 
-    size=512, device="cpu",side_by_side=False
+    'AK391/animegan2-pytorch:main', 'face2paint',
+    size=512, device="cpu", side_by_side=False
 )
+
+
 def inference(img, ver):
     if ver == 'version 2 (🔺 robustness,🔻 stylization)':
         out = face2paint(model2, img)
     else:
         out = face2paint(model1, img)
     return out
-  
-title = "AnimeGANv2"
+
+
+title = "Face Trans For You"
 description = "Gradio Demo for AnimeGanv2 Face Portrait v2. 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> | <a href='https://github.com/Kazuhito00/AnimeGANv2-ONNX-Sample' target='_blank'>Github Repo ONNX</a></p><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'/></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.jpeg','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,enable_queue=True,examples=examples,allow_flagging=False).launch()
+# article = "<p style='text-align: center'><a href='https://github.com/bryandlee/animegan2-pytorch' target='_blank'>Github Repo Pytorch</a> | <a href='https://github.com/Kazuhito00/AnimeGANv2-ONNX-Sample' target='_blank'>Github Repo ONNX</a></p><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'/></p>"
+article = "<p style='text-align: center'>samples: <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'/></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.jpeg', '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, enable_queue=True, examples=examples, allow_flagging=False).launch()