Update app.py

app.py

@@ -70,14 +70,14 @@ with gr.Blocks(title=title) as demo:
     gr.Markdown(f"# {title}")
     gr.Markdown(
         """
-        ### This demo compares the feature importances of a Random Forest classifier using the Mean Decrease Impurity (MDI) method and the Permutation Importance method. \
+        This demo compares the feature importances of a Random Forest classifier using the Mean Decrease Impurity (MDI) method and the Permutation Importance method. \
         To showcase the difference between the two methods, we add two random features to the Titanic dataset. \
         The first random feature is categorical and the second one is numerical. \
         The categorical feature can have its number of categories changed \
         and the numerical feature is sampled from a Standard Normal Distribution. \
         Random Forest hyperparameters can also be changed to verify the impact of model complexity on the feature importances.
 
-        [Original Example](https://scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html#sphx-glr-auto-examples-inspection-plot-permutation-importance-py)
+        See the original scikit-learn example [here](https://scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html#sphx-glr-auto-examples-inspection-plot-permutation-importance-py).
         """
     )