.

README.md

@@ -1,5 +1,5 @@
 ---
-title: AnimeGANv2
+title: Face Anime For You
 emoji: ⚡
 colorFrom: yellow
 colorTo: blue

app.py

@@ -24,14 +24,24 @@ def inference(img, ver):
         out = face2paint(model1, img)
     return out
 
-title = "Face Trans For You"
+title = "Face Anime For You"
 description = "Online Demo for AnimeGanv2 Face Portrait v2. To use it, simply upload your image, or click one of the examples to load them. 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>"
-# 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>"
 article = "<p style='text-align: center'>❤ from Bruce</p>"
+examples = [['IU.png',   'version 2 (🔺 robustness,🔻 stylization)'],
+            ['elon.png', 'version 2 (🔺 robustness,🔻 stylization)']]
 
-img_musk = Image.open(requests.get("https://z3.ax1x.com/2021/11/22/IxVvz4.png", stream=True).raw).convert("RGB")
-examples = [[img_musk, 'version 2 (🔺 robustness,🔻 stylization)'],
-            ['IU.png', '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()
+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()