Move Presetting

gradio_demo.py

@@ -355,6 +355,10 @@ with gr.Blocks(title="SUPIR") as interface:
                                             interactive=True)
                 randomize_seed = gr.Checkbox(label = "\U0001F3B2 Randomize seed", value = True, info = "If checked, result is always different")
                 seed = gr.Slider(label="Seed", minimum=0, maximum=2147483647, step=1, randomize=True)
+                with gr.Group():
+                    param_setting = gr.Radio(["Quality", "Fidelity"], interactive=True, label="Presetting", value="Quality")
+                    restart_button = gr.Button(value="Apply presetting")
+                    
 
         with gr.Column():
             gr.Markdown("<center>Restoring Output</center>")
@@ -367,11 +371,6 @@ with gr.Blocks(title="SUPIR") as interface:
                     llave_button = gr.Button(value="Generate description by LlaVa (disabled)")
                 with gr.Column():
                     diffusion_button = gr.Button(value="🚀 Upscale/Restore", variant = "primary", elem_id="process_button")
-            with gr.Row():
-                with gr.Column():
-                    param_setting = gr.Radio(["Quality", "Fidelity"], interactive=True, label="Presetting", value="Quality")
-                with gr.Column():
-                    restart_button = gr.Button(value="Apply presetting", scale=2)
 
             with gr.Accordion("Feedback", open=True, visible=False):
                 fb_score = gr.Slider(label="Feedback Score", minimum=1, maximum=5, value=3, step=1,
@@ -409,7 +408,7 @@ with gr.Blocks(title="SUPIR") as interface:
         seed
     ], queue = False, show_progress = False).then(fn = check, inputs = [
         input_image
-    ], outputs = [], queue = False, show_progress = False).then(fn = reset_feedback, inputs = [], outputs = [
+    ], outputs = [], queue = False, show_progress = False).success(fn = reset_feedback, inputs = [], outputs = [
         fb_score,
         fb_text
     ], queue = False, show_progress = False).success(fn=stage2_process, inputs = [