Add scikit-learn example link

app.py

@@ -34,7 +34,7 @@ def train_estimators(max_depth,n_estimators):
 title = "Decision Tree Regression with AdaBoost"
 with gr.Blocks(title=title) as demo:
     gr.Markdown(f"## {title}")
-    gr.Markdown("This app demonstrates bosting of decision tree regressor using Adaboost")
+    gr.Markdown("This app demonstrates boosting of decision tree regressor using Adaboost. This app is developed based on [scikit-learn example](https://scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html#sphx-glr-auto-examples-ensemble-plot-adaboost-regression-py)")
 
     max_depth = gr.Slider(minimum=1, maximum=50, step=1, label = "Maximum Depth")
     n_estimators = gr.Slider(minimum=1, maximum=300, step=1, label = "Number of Estimators")