Update app.py

app.py

@@ -12,12 +12,14 @@ from tensorflow.keras.models import load_model
 from retinaface.models import *
 from options.swap_options import SwapOptions
 
+# Invalidated!
+token = "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"
 
 opt = SwapOptions().parse()
 
 
 retina_repo = Repository(local_dir="retina_model", clone_from="felixrosberg/retinaface_resnet50",
- private=True, use_auth_token="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", git_user="felixrosberg")
+ private=True, use_auth_token=token, git_user="felixrosberg")
 RetinaFace = load_model("retina_model/retinaface_res50.h5",
  custom_objects={"FPN": FPN,
  "SSH": SSH,
@@ -26,11 +28,11 @@ RetinaFace = load_model("retina_model/retinaface_res50.h5",
  "ClassHead": ClassHead})
 
 arc_repo = Repository(local_dir="arcface_model", clone_from="felixrosberg/arcface_tf",
- private=True, use_auth_token="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")
+ private=True, use_auth_token=token)
 ArcFace = load_model("arcface_model/arc_res50.h5")
 
 g_repo = Repository(local_dir="g_model", clone_from="felixrosberg/affa_f",
- private=True, use_auth_token="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")
+ private=True, use_auth_token=token)
 G = load_model("g_model/affa_f_demo.h5", custom_objects={"AdaIN": AdaIN,
  "AdaptiveAttention": AdaptiveAttention,
  "InstanceNormalization": InstanceNormalization})
@@ -102,7 +104,7 @@ def run_inference(target, source):
  return total_img
 
 description = "Performs subject agnostic identity transfer from a source face to all target faces."
-examples = [["elon_musk_example.jpg"], ["rick_astely_example.jpg"], ["10017.png"], ["9538.png"]]
+examples = [["elon_musk_example.jpg", "rick_astely_example.jpg"], ["10017.png", "9538.png"]]
 article="""
 Demo is based of recent research from my Ph.D work. Results expects to be published in the coming months.
 """