Adding description and reference to sklearn docs

app.py

@@ -1,3 +1,7 @@
+"""
+Demo is Derived from  https://scikit-learn.org/stable/auto_examples/tree/plot_tree_regression_multioutput.html
+"""
+
 import numpy as np
 import matplotlib.pyplot as plt
 from sklearn.tree import DecisionTreeRegressor
@@ -54,7 +58,13 @@ def plot_multi_tree(d1,d2,d3):
 
 title = " Illustration of multi-output regression with decision tree.🌲 "
 with gr.Blocks(title=title) as demo:
-    gr.Markdown(f"## {title}")
+    gr.Markdown(f"# {title}")
+    gr.Markdown(" This example shows how different max_depth of decision tree affect the predictions <br>"
+    " Larger max_depth makes model learn the finner details resulting in **overfitting** <br>"
+    " Play with the Depth parameter to see how it fits a noisy circle dataset.<br>")
+
+    gr.Markdown(" **[Demo is based on sklearn docs](https://scikit-learn.org/stable/auto_examples/tree/plot_tree_regression_multioutput.html)**")
+
 
     with gr.Row():
         d1 = gr.Slider(minimum=0, maximum=20, step=1,  value = 2,