Add details to description

app.py

@@ -70,11 +70,21 @@ def train_model(num_samples, num_info):
 
 
 title = "Feature importances with a forest of trees 🌳"
-description = """This example shows the use of a forest of trees to evaluate the importance of features on an artificial classification task. 
-                The blue bars are the feature importances of the forest, along with their inter-trees variability represented by the error bars.
+description = """
+            This example shows the use of a random forest model in the evaluation of feature importances \
+            of features on an artificial classification task. The model is trained with simulated data that \
+            are generated using a user-selected number of informative features. \
+            
 
-                The model is trained with simulated data.
-              """
+            The plots show the feature impotances calculated with two different methods. In the first method (left) \
+            the importances are provided by the model and they are computed as the mean and standard deviation \
+            of accumulation of the impurity decrease within each tree. In the second method (right) uses permutation \
+            feature importance which is the decrease in a model score when a single feature value is randomly shuffled. \
+            
+                
+            The blue bars are the feature importances of the random forest model, along with their inter-trees variability \
+            represented by the error bars.
+            """
             
 with gr.Blocks() as demo:
     gr.Markdown(f"## {title}")