dev(narugo): optimize GUI

app.py

@@ -52,16 +52,19 @@ if __name__ == '__main__':
         with gr.Row():
             with gr.Column():
                 gr_input_image = gr.Image(type='pil', label='Original Image')
-                gr_attack_target = gr.Radio(['auto', 'ai', 'human'], value='auto', label='Attack Target')
-                gr_steps = gr.Slider(minimum=1, maximum=50, value=20, step=1, label='Steps')
-                gr_eps = gr.Slider(label="eps (Noise intensity)", minimum=1, maximum=16, step=1, value=1)
-                gr_noise_step_size = gr.Slider(label="Noise step size", minimum=0.001, maximum=16, step=0.001,
-                                               value=0.136)
-                gr_btn_submit = gr.Button(value='Attack This Image')
+                with gr.Row():
+                    gr_attack_target = gr.Radio(['auto', 'ai', 'human'], value='auto', label='Attack Target')
+                    gr_steps = gr.Slider(minimum=1, maximum=50, value=20, step=1, label='Steps')
+                with gr.Row():
+                    gr_eps = gr.Slider(label="eps (Noise intensity)", minimum=1, maximum=16, step=1, value=1)
+                    gr_noise_step_size = gr.Slider(label="Noise step size", minimum=0.001, maximum=16, step=0.001,
+                                                   value=0.136)
+                gr_btn_submit = gr.Button(value='Attack This Image', variant='primary')
 
             with gr.Column():
-                gr_before_prediction = gr.Label(label='Before Prediction')
-                gr_after_prediction = gr.Label(label='After Prediction')
+                with gr.Row():
+                    gr_before_prediction = gr.Label(label='Before Prediction')
+                    gr_after_prediction = gr.Label(label='After Prediction')
                 gr_output_image = gr.Image(type='pil', label='Attacked Image')
 
         gr_btn_submit.click(