added examples to make it easier for users to

app.py

@@ -19,14 +19,23 @@ def token_classification(sentence):
     
     return formatted_results
 
+    examples = [
+        ["Elon Musk founded SpaceX in California."],
+        ["Cristiano Ronaldo plays for Al Nassr in Saudi Arabia."],
+        ["Apple Inc. was founded by Steve Jobs. It is headquartered in Cupertino, California."],
+        ["Albert Einstein developed the theory of relativity in Germany."],
+        ["Harry Potter studied at Hogwarts in the United Kingdom."]
+                ]
+
 # Gradio interface
 demo = gr.Interface(
     fn=token_classification, 
-    inputs=gr.Textbox(label="Enter your sentence here", placeholder="Type a sentence to extract named entities", lines=3),
+    inputs=gr.Textbox(label="Enter your sentence here", placeholder= "Enter a sentence to extract named entities (e.g., 'Lionel Messi plays for Inter Miami in the United States.')", lines=3)
     outputs=gr.Textbox(label="Extracted Named Entities", placeholder="The extracted entities will appear here", lines=6),
     title="Named Entity Recognition",
     description="Extract and classify named entities like people, organizations, and locations from the input text.",
     theme="dark-grass",  # Optional: Use a clean and minimal theme
     allow_flagging="never",  # Optional: Disable flagging to reduce distractions
+    examples=examples,  # Optional: Add examples to make it easier for users
 )
 demo.launch()