Update app.py

app.py

@@ -31,6 +31,13 @@ interface = gr.Interface(fn = predict,
             examples = [['Device type', 'describing a set of common specific characteristics in products or goods'], ['Item type','the type of product, an item can be assigned to'], 
                         ['Nominal power','power being consumed by or dissipated within an electric component as a variable'], ['Power consumption', 'power that is typically taken from the auxiliary power supply when the device is operating normally']],
                          #theme = 'huggingface',
-            title = 'ECLASS-Property-Search', description = "This is a semantic search algorithm that mapps unknown pump properties to the ECLASS standard.", article = "this is a test")
+            title = 'ECLASS-Property-Search', description = "This is a semantic search algorithm that mapps unknown pump properties to the ECLASS standard.", 
+            article = gr.Markdown("""\
+            Data scientists doing medical research often face a shortage of high quality and diverse data to \
+            effectively train models. This challenge can be overcome by securely allowing training on protected \
+            data through Federated Learning. [Substra](https://docs.substra.org/) is a Python based Federated \
+            Learning software that enables researchers to easily train ML models on remote data regardless of the \
+            ML library they are using or the data type they are working with.
+            """))
     
 interface.launch()