Update app.py

app.py

@@ -1,31 +1,37 @@
 from PIL import Image
 import torch
 import gradio as gr
-
-
-
-model2 = torch.hub.load(
-    "AK391/animegan2-pytorch:main",
-    "generator",
-    pretrained=True,
-    device="cpu",
-    progress=False
-)
-
-
-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=1024, device="cpu",side_by_side=False
-)
+# Загрузка моделей с разными вариантами настроек
+model1 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="celeba_distill")
+model2 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1")
+model3 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v2")
+model4 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="paprika")
+face2paint = torch.hub.load('bryandlee/animegan2-pytorch:main', 'face2paint', 
+                            size=1024, device="cpu", side_by_side=False)
 def inference(img, ver):
-    if ver == 'version 2 (🔺 robustness,🔻 stylization)':
-        out = face2paint(model2, img)
-    else:
+    if ver == 'Celebrity Distill':
         out = face2paint(model1, img)
+    elif ver == 'Face Paint v1':
+        out = face2paint(model2, img)
+    elif ver == 'Face Paint v2':
+        out = face2paint(model3, img)
+    elif ver == 'Paprika':
+        out = face2paint(model4, img)
     return out
-  
 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 = "<br>"
-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,allow_flagging=False,allow_screenshot=False).launch()
+article = "
+"
+# Создание интерфейса Gradio с четырьмя вариантами настроек
+gr.Interface(inference, 
+              [gr.inputs.Image(type="pil"),
+               gr.inputs.Radio(['Celebrity Distill', 'Face Paint v1', 'Face Paint v2', 'Paprika'],
+                               type="value", 
+                               default='Celebrity Distill', 
+                               label='version')],
+              gr.outputs.Image(type="pil"),
+              title=title,
+              description=description,
+              article=article,
+              allow_flagging=False,
+              allow_screenshot=False).launch()