refactor: Mejorar diseño de interfaz de usuario en app.py

app.py

@@ -19,40 +19,43 @@ def refine_image(image, prompt, negative_prompt, num_inference_steps, guidance_s
     return [image, refined_image]
 
 with gr.Blocks() as demo:
-    image = gr.Image(type="filepath")
-    prompt = gr.Textbox(lines=3, label="Prompt")
-    negative_prompt = gr.Textbox(lines=3, label="Negative Prompt")
-    strength = gr.Slider(
-        label="Strength",
-        minimum=0,
-        maximum=300,
-        step=0.01,
-        value=1
-    )
-    num_inference_steps = gr.Slider(
-        label="Inference steps",
-        minimum=3,
-        maximum=150,
-        step=1,
-        value=25
-    )
-    guidance_scale = gr.Slider(
-        label="Guidance scale",
-        minimum=0.0,
-        maximum=50.0,
-        step=0.1,
-        value=12
-    )
-    seed = gr.Slider(
-        label="Seed",
-        info="-1 denotes a random seed",
-        minimum=-1,
-        maximum=423538377342,
-        step=1,
-        value=-1
-    )
-    refine_btn = gr.Button("Refine")
-    output = ImageSlider(label="Before / After")
+    with gr.Row():
+        with gr.Column():
+            image = gr.Image(type="filepath")
+            prompt = gr.Textbox(lines=3, label="Prompt")
+            negative_prompt = gr.Textbox(lines=3, label="Negative Prompt")
+            strength = gr.Slider(
+                label="Strength",
+                minimum=0,
+                maximum=300,
+                step=0.01,
+                value=1
+            )
+            num_inference_steps = gr.Slider(
+                label="Inference steps",
+                minimum=3,
+                maximum=150,
+                step=1,
+                value=25
+            )
+            guidance_scale = gr.Slider(
+                label="Guidance scale",
+                minimum=0.0,
+                maximum=50.0,
+                step=0.1,
+                value=12
+            )
+            seed = gr.Slider(
+                label="Seed",
+                info="-1 denotes a random seed",
+                minimum=-1,
+                maximum=423538377342,
+                step=1,
+                value=-1
+            )
+            refine_btn = gr.Button("Refine")
+        with gr.Column():
+            output = ImageSlider(label="Before / After")
 
     refine_btn.click(
         refine_image,