Update app.py

Making text simpler

app.py

@@ -49,9 +49,9 @@ with gr.Blocks() as demo:
     gr.Markdown(f"# {title}")
     gr.Markdown(
         """
-        This example shows how a feature selection can be easily integrated within a machine learning pipeline \
-        using a synthetic dataset. The number of features to select and other parameters to generate the toy dataset \
-        are provided as components to play around.
+        ### This example creates a pipeline where in the first step k features are selected with ANOVA and then we pass the selected features \
+        to a Linear SVM. This pipeline is then trained using a synthetic dataset and evaluated on a test holdout. \
+        A table displaying the classification report with the metrics and a char showing the index of the selected features are shown at the bottom.
 
         See original example [here](https://scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection_pipeline.html#sphx-glr-auto-examples-feature-selection-plot-feature-selection-pipeline-py)
         """