Update app.py

app.py

@@ -178,18 +178,18 @@ def run_inference(target, source, slider, adv_slider, settings):
         return None
 
 
-description = " \n\n" \
-              " \n\n" \
-              "\n\n" \
-              "\n\n" \
+description = "Performs subject agnostic identity transfer from a source face to all target faces. \n\n" \
+              "Implementation and demo of FaceDancer, accepted to WACV 2023. \n\n" \
+              "Pre-print: https://arxiv.org/abs/2210.10473 \n\n" \
+              "Code: https://github.com/felixrosberg/FaceDancer \n\n" \
                "\n\n" \
-              "\n\n" \
-              "\n\n" \
-              "\n\n" \
-              "\n\n" \
-              "\n\n" \
-              "\n\n" \
-              "May not work properly!"
+              "Options:\n\n" \
+              "-Compare returns the target image concatenated with the results.\n\n" \
+              "-Anonymize will ignore the source image and perform an identity permutation of target faces.\n\n" \
+              "-Reconstruction attack will attempt to invert the face swap or the anonymization.\n\n" \
+              "-Adversarial defense will add a permutation noise that disrupts the reconstruction attack.\n\n" \
+              "NOTE: There is no guarantees with the anonymization process currently.\n\n" \
+              "NOTE: source image with too high resolution may not work properly!"
 examples = [["assets/rick.jpg", "assets/musk.jpg", 100, 10, ["compare"]],
             ["assets/musk.jpg", "assets/musk.jpg", 100, 10, ["anonymize"]]]
 article = """
@@ -212,4 +212,4 @@ iface = gradio.Interface(run_inference,
                          examples=examples,
                          article=article,
                          layout="vertical")
-iface.launch()
+iface.launch()