add noise and variance sliders under feature1's sliders

app.py

@@ -177,29 +177,29 @@ with gr.Blocks(title=title) as demo:
         gr.Markdown("`y = f1_scale * x_1 **f1_power + f2_scale * f2_func(f2_freq * np.pi * x_2 + f2_shift + variance) * random(samples) + bias`")
 
 
-        noise_var = gr.Slider(minimum=0, maximum=10, step=1, 
-        label = "Noise variance")
-        
-        noise_bias = gr.Slider(minimum=0, maximum=10, step=1, 
-        label = "Noise bias")
-
         with gr.Row():
             with gr.Column():
-                    feat1_scale = gr.Slider(minimum=1, maximum=10, step=1, 
+                feat1_scale = gr.Slider(minimum=1, maximum=10, step=1, 
                     label = "Scale feature 1")
 
-                    feat1_power = gr.Slider(minimum=1, maximum=4, step=1, 
+                feat1_power = gr.Slider(minimum=1, maximum=4, step=1, 
                     label = "Raised feature 1 to the power")
-
+            
+                noise_var = gr.Slider(minimum=0, maximum=10, step=1, 
+                    label = "Noise variance")
+            
+                noise_bias = gr.Slider(minimum=0, maximum=10, step=1, 
+                    label = "Noise bias")
+            
             with gr.Column():
                 feat2_freq = gr.Slider(minimum=1, maximum=10, step=1, value=6,
-                label = "Feature 2 frequency")
+                    label = "Feature 2 frequency")
 
                 feat2_shift = gr.Slider(minimum=1, maximum=5, step=1, 
-                label = "Shift feature 2")
+                    label = "Shift feature 2")
 
                 feat2_scale  = gr.Slider(minimum=1, maximum=4, step=1, 
-                label = "Scale feature 2")
+                    label = "Scale feature 2")
 
                 feat2_func  = gr.Radio(choices=["Use sine function for feature 2", 
                                                 "Use cosine function for feature 2"],