Update app.py

app.py

@@ -27,12 +27,8 @@ gr.close_all()
 demo = gr.Interface(fn=ner,
                     inputs=[gr.Textbox(label="Text to find entities", lines=2)],
                     outputs=[gr.HighlightedText(label="Text with entities")],
-                    title="NER with dslim/bert-base-NER",
+                    title="Puncituation Predictor",
                     description="Find entities using the `BERT-base` model under the hood!",
                     allow_flagging="never",
-                    examples=["My name is Raul and I live in Niterói, Rio de Janeiro, Brazil",
-                             "Lionel Messi is the greatest footballer of the new century",
-                             "Toronto is hockey capital of the world",
-                             "S&P 500 has gained 400 points in last trailing 7 days",
-                             "Paris is one of most visited cities in the world every year."])
+                    examples=[])
 demo.launch()