Update app.py

app.py

@@ -21,14 +21,19 @@ def predict(name, description):
     definition1 = corpus.iloc[output[0][0].get('corpus_id'),1]
     IRDI1 = corpus.iloc[output[0][0].get('corpus_id'),4]
     score1 = output[0][0].get('score')
+
+    preferedName2 = corpus.iloc[output[0][1].get('corpus_id'),2]
+    definition2 = corpus.iloc[output[0][1].get('corpus_id'),1]
+    IRDI2 = corpus.iloc[output[0][1].get('corpus_id'),4]
+    score2 = output[0][1].get('score')
     
 
-    return preferedName1, definition1, IRDI1, score1
+    return preferedName1, definition1, IRDI1, score1, preferedName2, definition2, IRDI1, score2
 
 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')],
-            outputs = [gr.Dataframe(row_count = (1, "fixed"), col_count=(4, "fixed"), label="Predictions", headers=["Failures"])]
+            outputs = [gr.Dataframe(row_count = (2, "fixed"), col_count=(4, "fixed"), label="Predictions", headers=["Failures"])]
             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',