Update app.py

app.py

@@ -40,10 +40,15 @@ def evaluate(text) :
     result = np.round(result.numpy(), 2).tolist()
     return {'Liberal': result[0][0], 'Conservative': result[0][1]}
 
+
+
+article = "<p style='text align: center'><a href='https://github.com/acmucsd-projects/fa22-ai-team-2' target='_blank'>GitHub Repo</a></p><center><img src='https://visitor-badge.glitch.me/badge?page_id=joonkim/bert-political-sentiment-analysis' alt='visitor badge'></center>"
+
 iface = gr.Interface(fn=evaluate, 
                      inputs='text', 
                      outputs=gr.components.Label(num_top_classes=2),
                      examples=[["Biden speech draws 38.2 million U.S. TV viewers"],
                                ["Biden's first State of the Union address in 67 seconds"]],
-                     title='Political Sentiment Classification Using BERT Transformer')
+                     title='Political Sentiment Classification Using BERT Transformer',
+                     article=article)
 iface.launch()