update app.py

app.py

@@ -59,8 +59,10 @@ with gr.Blocks() as demo:
             )
     with gr.Row():
         with gr.Column():
-            img_input = gr.Image(source="upload", type="pil", label="Image Upload", interactive=True),
-            conf_input = gr.Slider(minimum=0.05, maximum=1.0, value=0.5, step=0.05, label="Confidence Threshold"),
+            inputs = [
+                gr.Image(source="upload", type="pil", label="Image Upload", interactive=True),
+                gr.Slider(minimum=0.05, maximum=1.0, value=0.5, step=0.05, label="Confidence Threshold"),
+            ]
             with gr.Row():
                 clear_form = gr.Button("Reset")
                 submit = gr.Button("Predict")
@@ -75,11 +77,11 @@ with gr.Blocks() as demo:
         """
         )
     
-    callback.setup([img_input, conf_input, outputs], "flagged_data")
+    callback.setup([inputs, outputs], "flagged_data")
 
-    # clear_form.click(fn=clear, inputs=None, outputs=[img_input, conf_input], show_progress=False)
-    submit.click(fn=seal_detection, inputs=[img_input, conf_input], outputs=outputs)
-    flag.click(lambda *args: callback.flag(args), [img_input, conf_input, outputs], None, preprocess=False, show_progress=False)
+    clear_form.click(fn=clear, inputs=None, outputs=[inputs], show_progress=False)
+    submit.click(fn=seal_detection, inputs=[inputs], outputs=outputs)
+    flag.click(lambda *args: callback.flag(args), [inputs, outputs], None, preprocess=False, show_progress=False)
 
 if __name__ == "__main__":
     demo.queue(api_open=False, max_size=10)