Update app.py

app.py

@@ -25,9 +25,10 @@ def predict(name, description):
 
     return preferedName1, definition1, IRDI1, score1
 
-interface = gr.Interface(fn = predict, inputs = [gr.Textbox(label="Name:", placeholder="z.B. GTIN", lines=1), gr.Textbox(label="Description:", placeholder="z.B. Globel Trade Item Number", lines=1)], 
+interface = gr.Interface(fn = predict, 
+            inputs = [gr.Textbox(label="Name:", placeholder="z.B. GTIN", lines=1), gr.Textbox(label="Description:", placeholder="z.B. Globel Trade Item Number", lines=1)], 
             outputs = [gr.Textbox(label = 'preferedName'),gr.Textbox(label = 'definition'), gr.Textbox(label = 'IDRI'),gr.Textbox(label = 'score')],
-            examples=[['GTIN', 'Globel Trade Item Number'], ['Global Trade Item Number', 'the identification number from the GS1 system with which the trading units can be uniquely identified worldwide']
+            examples = [['GTIN', 'Globel Trade Item Number'], ['Global Trade Item Number', 'the identification number from the GS1 system with which the trading units can be uniquely identified worldwide'],
                       ['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')