Update app.py

app.py

@@ -122,17 +122,17 @@ modelv4 = torch.jit.load(modelarcanev4,map_location='cpu').eval().cpu().half().f
 modelv3 = torch.jit.load(modelarcanev3,map_location='cpu').eval().cpu().half().float()
 modelv2 = torch.jit.load(modelarcanev2,map_location='cpu').eval().cpu().half().float()
 
-def version4(img):
+def version4(im):
     im = scale_by_face_size(im, target_face=256, max_res=1_500_000, max_upscale=1)
     res = proc_pil_img(im, modelv4)
     return res
 
-def version3(img):
+def version3(im):
     im = scale_by_face_size(im, target_face=256, max_res=1_500_000, max_upscale=1)
     res = proc_pil_img(im, modelv3)
     return res
 
-def version2(img):
+def version2(im):
     im = scale_by_face_size(im, target_face=256, max_res=1_500_000, max_upscale=1)
     res = proc_pil_img(im, modelv2)
     return res