Add scikit-learn example link

app.py

@@ -73,7 +73,7 @@ def compare(max_depth,n_estimators):
 title = "Comparing random forests and the multi-output meta estimator"
 with gr.Blocks(title=title) as demo:
     gr.Markdown(f"## {title}")
-    gr.Markdown("This app demonstrates random forests and the multi-output meta estimator comparison")
+    gr.Markdown("This app demonstrates comparison of random forest with multi-output meta estimator. This app is developed based on [scikit-learn example](https://scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html#sphx-glr-auto-examples-ensemble-plot-random-forest-regression-multioutput-py)")
 
     max_depth = gr.Slider(minimum=10, maximum=50, step=1, label = "Maximum Depth")
     n_estimators = gr.Slider(minimum=50, maximum=300, step=1, label = "Number of Estimators")