Update app.py

app.py

@@ -54,6 +54,9 @@ generatoryasuho = deepcopy(original_generator)
 
 generatorarcanemulti = deepcopy(original_generator)
 
+generatorart = deepcopy(original_generator)
+
+
 
 
 
@@ -99,6 +102,11 @@ os.system("gdown https://drive.google.com/uc?id=1enJgrC08NpWpx2XGBmLt1laimjpGCyf
 ckptarcanemulti = torch.load('arcane_multi_preserve_color.pt', map_location=lambda storage, loc: storage)
 generatorarcanemulti.load_state_dict(ckptarcanemulti["g"], strict=False)
 
+os.system("gdown https://drive.google.com/uc?id=1a0QDEHwXQ6hE_FcYEyNMuv5r5UnRQLKT")
+
+ckptart = torch.load('art.pt', map_location=lambda storage, loc: storage)
+generatorart.load_state_dict(ckptart["g"], strict=False)
+
 
 def inference(img, model):    
     aligned_face = align_face(img)
@@ -119,9 +127,12 @@ def inference(img, model):
     elif model == 'Yasuho':
         with torch.no_grad():
             my_sample = generatoryasuho(my_w, input_is_latent=True)
-    else:
+    elif model == 'Arcane Multi':
         with torch.no_grad():
             my_sample = generatorarcanemulti(my_w, input_is_latent=True)
+    else:
+        with torch.no_grad():
+            my_sample = generatorart(my_w, input_is_latent=True)
             
     
     npimage = my_sample[0].permute(1, 2, 0).detach().numpy()