Update app.py

app.py

@@ -159,31 +159,20 @@ class ExampleDemo(WebcamDemo):
     def __init__(self, anonymizer) -> None:
         self.anonymizer = anonymizer
         with gradio.Row():
-            input_image = gradio.Image(type="pil", source="webcam")
+            input_image = gradio.Image(type="pil", label="Upload your image or try the example below!")
             output_image = gradio.Image(type="numpy", label="Output")
         with gradio.Row():
             update_btn = gradio.Button("Update Anonymization").style(full_width=True)
         visualize_det = gradio.Checkbox(value=False, label="Show Detections")
         visualize_det.change(self.anonymize, inputs=[input_image, visualize_det], outputs=[output_image])
+        gradio.Examples(
+            ["erling.jpg", "coco_val2017_000000001000.jpg"], inputs=[input_image]
+        )
         update_btn.click(self.anonymize, inputs=[input_image, visualize_det], outputs=[output_image])
         input_image.change(self.anonymize, inputs=[input_image, visualize_det], outputs=[output_image])
         self.track = False
 
 
-class Information:
-
-    def __init__(self) -> None:
-        gradio.Markdown("## <center> Face Anonymization Architecture </center>")
-        gradio.Markdown("---")
-        gradio.Image(value="media2/overall_architecture.png")
-        gradio.Markdown("## <center> Full-Body Anonymization Architecture </center>")
-        gradio.Markdown("---")
-        gradio.Image(value="media2/full_body.png")
-        gradio.Markdown("### <center> Generative Adversarial Networks </center>")
-        gradio.Markdown("---")
-        gradio.Image(value="media2/gan_architecture.png")
-    
-
 def pil2torch(img: Image.Image):
     img = img.convert("RGB")
     img = np.array(img)
@@ -194,9 +183,9 @@ def pil2torch(img: Image.Image):
 with gradio.Blocks() as demo:
     gradio.Markdown("# <center> DeepPrivacy2 - Realistic Image Anonymization </center>")
     gradio.Markdown("### <center> Håkon Hukkelås, Rudolf Mester, Frank Lindseth </center>")
-    with gradio.Tab("Live Full-Body"):
+    with gradio.Tab("Full-Body Anonymization"):
         ExampleDemo(anonymizer_body)
-    with gradio.Tab("Live Face"):
+    with gradio.Tab("Face Anonymization"): 
         ExampleDemo(anonymizer_face)