New description with article

app.py

@@ -152,7 +152,20 @@ def trainme(MedInc, AveOccup, HouseAge, Latitude, Longitude, Price):
 
   return final_list
 
-#Define gradio UI MedInc, AveOccup, HouseAge, Latitude, Longitude, Price):
+#Define gradio UI
+
+
+title = '🔮 Explain me like I\'m 5'
+
+description = """
+<center>
+Gradio Demo for model interpretation powered by LIME.\n
+To use it, simply choose your values, and hit 'Submit'. It will train a vanilla Random Forest Regressor, interpret it using Lime and generating an explanation in plain English using a fill-in-the-blank template.
+</center>
+"""
+
+article = "Originally made by [Ulysse Bottello](https://github.com/ulyssebottello), using [California Housing Dataset](https://scikit-learn.org/stable/datasets/real_world.html#california-housing-dataset) and [Lime](https://github.com/marcotcr/lime)"
+
 
 input = [gr.inputs.Slider(0.5, 15, default=4.406300, label='Median income'),
         gr.inputs.Slider(1, 30, default=2.446602, label='Average number of household members'),
@@ -170,6 +183,7 @@ output = [gr.outputs.Textbox(label='Prediction'),
 iface = gr.Interface(fn=trainme, 
                      inputs=input, 
                      outputs=output,
-                     title = '🔮 Explain me like I\'m 5',
-                     description="Gradio Demo for model interpretation powered by LIME.\nTo use it, simply choose your values, and hit 'Submit'. It will train a vanilla Random Forest Regressor on the California Housing datatset, interpret it using lime and generating an explanation in plain English using a fill-in-the-blank template.")
+                     title = title,
+                     description= description,
+                     article = article)
 iface.launch()