add text

app.py

@@ -72,7 +72,17 @@ def app_fn(n: int) -> go.Figure:
 
     return fig
 
+title="Individual and Voting (🗳️) Regression Predictions"
 with gr.Blocks() as demo:
+    gr.Markdown(f"# {title}")
+    gr.Markdown(
+        """
+        ## A voting regressor is an ensemble meta-estimator that fits several base regressors, each on the whole dataset. \
+        Then it averages the individual predictions to form a final prediction. This example will use three different regressors to \
+        predict the data: GradientBoostingRegressor, RandomForestRegressor, and LinearRegression. Then the 3 regressors will be used for the VotingRegressor. \
+        The dataset used consists of 10 features collected from a cohort of diabetes patients. The target is a quantitative measure of disease progression one year after baseline.
+        """
+    )
     n = gr.inputs.Slider(10, 30, 5, 20, "Number of training samples")
     plot = gr.Plot(label="Individual & Voting Predictions")
     button = gr.Button(label="Update Plot")