Update descriptions and add default value

app.py

@@ -110,11 +110,15 @@ def stacked_model(model1,model2,model3):
 title = "Combine predictors using stacking"
 with gr.Blocks(title=title) as demo:
     gr.Markdown(f"## {title}")
-    gr.Markdown("This app demonstrates combining 3 predictors trained on Ames housing dataset from OpenML using stacking. This app is developed based on [scikit-learn example](https://scikit-learn.org/stable/auto_examples/ensemble/plot_stack_predictors.html#sphx-glr-auto-examples-ensemble-plot-stack-predictors-py)")
-
-    model1 = gr.Textbox(label="Repo id of first model")
-    model2 = gr.Textbox(label="Repo id of second model")
-    model3 = gr.Textbox(label="Repo id of third model")
+    gr.Markdown("""
+    This app demonstrates combining 3 predictors trained on Ames housing dataset from OpenML using stacking and Ridge estimator as final estimator.  
+    Stacking uses a meta-learning algorithm to learn how to best combine the predictions from trained models. The OpenML Ames housing dataset is a processed version of the 'Ames Iowa Housing'with 81 features.
+    This app is developed based on [scikit-learn example](https://scikit-learn.org/stable/auto_examples/ensemble/plot_stack_predictors.html#sphx-glr-auto-examples-ensemble-plot-stack-predictors-py)
+    """)
+
+    model1 = gr.Textbox(label="Repo id of first model", value="https://huggingface.co/haizad/ames-housing-random-forest-predictor")
+    model2 = gr.Textbox(label="Repo id of second model", value="https://huggingface.co/haizad/ames-housing-gbdt-predictor")
+    model3 = gr.Textbox(label="Repo id of third model", value="https://huggingface.co/haizad/ames-housing-lasso-predictor")
     plot = gr.Plot()
     stack_btn = gr.Button("Stack")
     stack_btn.click(fn=stacked_model, inputs=[model1,model2,model3], outputs=[plot])