Updates

app.py

@@ -27,9 +27,22 @@ def inference(img, ver):
         out = face2paint(model1, 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 = "<p style='text-align: center'><a href='https://github.com/bryandlee/animegan2-pytorch' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_animegan' alt='visitor badge'></center></p>"
-examples=[['groot.jpeg','version 2 (🔺 robustness,🔻 stylization)'],['bill.png','version 1 (🔺 stylization, 🔻 robustness)'],['tony.png','version 1 (🔺 stylization, 🔻 robustness)'],['elon.png','version 2 (🔺 robustness,🔻 stylization)'],['IU.png','version 1 (🔺 stylization, 🔻 robustness)'],['billie.png','version 2 (🔺 robustness,🔻 stylization)'],['will.png','version 2 (🔺 robustness,🔻 stylization)'],['beyonce.png','version 1 (🔺 stylization, 🔻 robustness)'],['gongyoo.jpeg','version 1 (🔺 stylization, 🔻 robustness)']]
-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,examples=examples,allow_flagging=False,allow_screenshot=False).launch(enable_queue=True,cache_examples=True)
+title = "Deepfake Detection"
+description = "This gradio contains a GAN-generated image detector developed to distinguish real images from synthetic ones."
+article = "<p style='text-align: center'><a href='https://github.com/polimi-ispl/GAN-image-detection' target='_blank'>@polimi-ispl/GAN-image-detection</a></p>"
+examples=[
+    ['images/fake0.jpg','Fake Female'],
+    ['images/fake1.png','Fake Male'],
+    ['images/real0.jpg','Real Female'],
+    ['images/real1.jpg','Real Male'],
+
+    gr.Interface(inference, 
+        gr.inputs.Image(type="pil"), 
+        gr.outputs.Image(type="pil"),
+        title=title,
+        description=description,
+        article=article,
+        examples=examples,
+        allow_flagging=False,
+        allow_screenshot=False
+).launch(enable_queue=True,cache_examples=True)

requirements.txt

@@ -0,0 +1,4 @@
+torch
+torchvision
+Pillow
+tqdm