init

app.py

@@ -249,11 +249,11 @@ def run(num1, num2, num3, num4, num5, random_seed, submit):
 iface = gr.Interface(
     fn=run,
     inputs=[
-            gr.inputs.Slider(0, 100, default=2, step=0.1, label='Label percentage in [0, 2)'),
-            gr.inputs.Slider(0, 100, default=20, step=0.1, label='Label percentage in [2, 4)'),
-            gr.inputs.Slider(0, 100, default=100, step=0.1, label='Label percentage in [4, 6)'),
-            gr.inputs.Slider(0, 100, default=20, step=0.1, label='Label percentage in [6, 8)'),
-            gr.inputs.Slider(0, 100, default=2, step=0.1, label='Label percentage in [8, 10)'),
+            gr.inputs.Slider(0, 100, default=50, step=0.1, label='Label percentage in [0, 2)'),
+            gr.inputs.Slider(0, 100, default=50, step=0.1, label='Label percentage in [2, 4)'),
+            gr.inputs.Slider(0, 100, default=50, step=0.1, label='Label percentage in [4, 6)'),
+            gr.inputs.Slider(0, 100, default=50, step=0.1, label='Label percentage in [6, 8)'),
+            gr.inputs.Slider(0, 100, default=50, step=0.1, label='Label percentage in [8, 10)'),
             gr.inputs.Number(default=0, label='Random Seed', optional=False),
             gr.inputs.Radio(['Prepare Training Data', 'Start Regressing!'],
                             type="index", default=None, label='Mode', optional=False),
@@ -268,6 +268,11 @@ iface = gr.Interface(
     allow_flagging='never',
     title="Balanced MSE for Imbalanced Visual Regression [CVPR 2022]",
     description="Welcome to the demo of Balanced MSE &#9878;. In this demo, we will work on a simple task: imbalanced <i>linear</i> regression. <br>"
-                "To get started, drag the sliders &#128071;&#128071; and create your label distribution!"
+                "To get started, drag the sliders &#128071;&#128071; and create your label distribution!",
+    examples=[
+        [0.1, 0.8, 6.4, 51.2, 100, 0, 'Prepare Training Data'],
+        [1, 10, 100, 10, 1, 0, 'Prepare Training Data'],
+    ],
+    
 )
 iface.launch()