Improve layout

app.py

@@ -151,11 +151,11 @@ with gr.Blocks() as interface:
     )
     with gr.Row():
         with gr.Column():
-            dummy_1 = gr.Label()
+            dummy_1 = gr.Label(visible = False)
         with gr.Column():
             enlarge_top = gr.Number(minimum = 0, value = 64, precision = 0, label = "Enlarge on top", info = "in pixels")
         with gr.Column():
-            dummy_2 = gr.Label()
+            dummy_2 = gr.Label(visible = False)
     with gr.Row():
         with gr.Column():
             enlarge_left = gr.Number(minimum = 0, value = 64, precision = 0, label = "Enlarge on left", info = "in pixels")
@@ -165,15 +165,15 @@ with gr.Blocks() as interface:
             enlarge_right = gr.Number(minimum = 0, value = 64, precision = 0, label = "Enlarge on right", info = "in pixels")
     with gr.Row():
         with gr.Column():
-            dummy_3 = gr.Label()
+            dummy_3 = gr.Label(visible = False)
         with gr.Column():
             enlarge_bottom = gr.Number(minimum = 0, value = 64, precision = 0, label = "Enlarge on bottom", info = "in pixels")
         with gr.Column():
-            dummy_4 = gr.Label()
+            dummy_4 = gr.Label(visible = False)
     with gr.Row():
-        with gr.Row():
-            prompt = gr.Textbox(label = 'Prompt', info = "Describe the subject, the background and the style of image; 77 token limit", placeholder = 'Describe what you want to see in the entire image')
-        with gr.Accordion("Advanced options", open = False):
+        prompt = gr.Textbox(label = 'Prompt', info = "Describe the subject, the background and the style of image; 77 token limit", placeholder = 'Describe what you want to see in the entire image')
+   with gr.Row():
+         with gr.Accordion("Advanced options", open = False):
             negative_prompt = gr.Textbox(label = 'Negative prompt', placeholder = 'Describe what you do NOT want to see in the entire image', value = 'Border, frame, painting, scribbling, smear, noise, blur, watermark')
             denoising_steps = gr.Slider(minimum = 0, maximum = 1000, value = 1000, step = 1, label = "Denoising", info = "lower=irrelevant result, higher=relevant result")
             num_inference_steps = gr.Slider(minimum = 10, maximum = 25, value = 10, step = 1, label = "Number of inference steps", info = "lower=faster, higher=image quality")
@@ -181,14 +181,19 @@ with gr.Blocks() as interface:
             randomize_seed = gr.Checkbox(label = "Randomize seed (not working, always checked)", value = True, info = "If checked, result is always different")
             seed = gr.Slider(minimum = 0, maximum = max_64_bit_int, step = 1, randomize = True, label = "Seed (if not randomized)")
             debug_mode = gr.Checkbox(label = "Debug mode", value = True, info = "Show intermediate results")
-        with gr.Row():
-            submit = gr.Button("Uncrop", variant = "primary")
+    with gr.Row():
+        submit = gr.Button("Uncrop", variant = "primary")
     with gr.Row():
         uncropped_image = gr.Image(label = "Uncropped image")
+    with gr.Row():
         information = gr.Label(label = "Information")
+    with gr.Row():
         original_image = gr.Image(label = "Original image")
+    with gr.Row():
         enlarged_image = gr.Image(label = "Enlarged image")
+    with gr.Row():
         mask_image = gr.Image(label = "Mask image")
+
     submit.click(predict, inputs = [
         source_img,
         enlarge_top,