Update app.py

app.py

@@ -29,22 +29,22 @@ import gradio as gr
 # 1. define mean and standard deviation for class 1
 
 set_fea1_mean_class1 = gr.inputs.Slider(0, 20, step=0.5, default=1, label = 'Feature_1 Mean (Class 1)')
-set_fea1_var_class1 = gr.inputs.Slider(0, 10, step=0.5, default=1.5, label = 'Feature_1 Variance (Class 1)')
+set_fea1_var_class1 = gr.inputs.Slider(0, 10, step=0.5, default=2.5, label = 'Feature_1 Variance (Class 1)')
 
 set_fea2_mean_class1 = gr.inputs.Slider(0, 20, step=0.5, default=2, label = 'Feature_2 Mean (Class 1)')
-set_fea2_var_class1 = gr.inputs.Slider(0, 10, step=0.5, default=1.5, label = 'Feature_2 Variance (Class 1)')
+set_fea2_var_class1 = gr.inputs.Slider(0, 10, step=0.5, default=4.5, label = 'Feature_2 Variance (Class 1)')
 
-set_fea_covariance_class1 = gr.inputs.Slider(0, 10, step=0.5, default=1.5, label = 'Feature_1_2 Co-Variance (Class 1)')
+set_fea_covariance_class1 = gr.inputs.Slider(0, 10, step=0.5, default=2.5, label = 'Feature_1_2 Co-Variance (Class 1)')
 
 # 2. define mean and standard deviation for class 2
 
-set_fea1_mean_class2 = gr.inputs.Slider(0, 20, step=0.5, default=5, label = 'Feature_1 Mean (Class 2)')
-set_fea1_var_class2 = gr.inputs.Slider(0, 10, step=0.5, default=1.5, label = 'Feature_1 Variance (Class 2)')
+set_fea1_mean_class2 = gr.inputs.Slider(0, 20, step=0.5, default=7, label = 'Feature_1 Mean (Class 2)')
+set_fea1_var_class2 = gr.inputs.Slider(0, 10, step=0.5, default=3.5, label = 'Feature_1 Variance (Class 2)')
 
-set_fea2_mean_class2 = gr.inputs.Slider(0, 20, step=0.5, default=6, label = 'Feature_2 Mean (Class 2)')
-set_fea2_var_class2 = gr.inputs.Slider(0, 10, step=0.5, default=1.5, label = 'Feature_2 Variance (Class 2)')
+set_fea2_mean_class2 = gr.inputs.Slider(0, 20, step=0.5, default=8, label = 'Feature_2 Mean (Class 2)')
+set_fea2_var_class2 = gr.inputs.Slider(0, 10, step=0.5, default=3.5, label = 'Feature_2 Variance (Class 2)')
 
-set_fea_covariance_class2 = gr.inputs.Slider(0, 10, step=0.5, default=1.5, label = 'Feature_1_2 Co-Variance (Class 2)')
+set_fea_covariance_class2 = gr.inputs.Slider(0, 10, step=0.5, default=3.5, label = 'Feature_1_2 Co-Variance (Class 2)')
 
 # 3. Define the number of data points 
 set_number_points = gr.inputs.Slider(10, 100, step=5, default=20, label = 'Number of samples in each class')