update app.py

app.py

@@ -10,6 +10,8 @@ yolo_model.overrides['max_det'] = 10
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 yolo_model.to(device)
 
+print(os.path.dirname(__file__))
+
 def seal_detection(
     image,
     conf_threshold,
@@ -70,6 +72,16 @@ with gr.Blocks() as demo:
             outputs = gr.Image(type="filepath", label="Output Image", interactive=False)
             flag = gr.Button("Flag")
 
+    with gr.Row():
+        gr.Examples(
+            examples=[os.path.join(os.path.dirname(__file__), "/assets/Naruto_Hand_Seals_by_Megan.gif")],
+            inputs=image,
+            outputs=outputs,
+            fn=seal_detection,
+            run_on_click=True,
+            cache_examples=True
+        )
+
     gr.Markdown(
         """
         <p style="text-align:center">
@@ -81,8 +93,8 @@ with gr.Blocks() as demo:
 
     clear_form.click(fn=clear, inputs=None, outputs=[image[0], slider[0], outputs], show_progress=False)
     submit.click(fn=seal_detection, inputs=[image[0], slider[0]], outputs=outputs)
-    flag.click(lambda *args: callback.flag([image, slider, outputs]), inputs=[image[0], slider[0], outputs], outputs=None, preprocess=False)
+    flag.click(lambda *args: callback.flag([image[0], slider[0], outputs]), inputs=[image[0], slider[0], outputs], outputs=None, preprocess=False)
 
 if __name__ == "__main__":
     demo.queue(api_open=False, max_size=10)
-    demo.launch()   
+    demo.launch()