Update app.py

app.py

@@ -71,9 +71,15 @@ def get_app_fn():
 
 
 title = "Bayesian Ridge Regression"
+description = (
+    "This example shows the effect of different initial values for the regularisation paramters (alpha, lambda)."
+    "When starting from the default values (alpha_init = 1.90, lambda_init = 1.), the bias of the resulting curve is large, "
+    "and the variance is small. So, lambda_init should be relatively small (1.e-3) to reduce the bias."
+)
 with gr.Blocks(title=title) as demo:
     gr.Markdown(f"## {title}")
-
+    gr.Markdown(description)
+    
     n_samples_input = gr.Slider(minimum=5, maximum=100, value=25, step=1, label="#observations")
     alpha_input = gr.Slider(minimum=0.001, maximum=5, value=1.9, step=0.01, label="alpha_init")
     lambda_input = gr.Slider(minimum=0.001, maximum=5, value=1., step=0.01, label="lambda_init")