Add examples

app.py

@@ -3,6 +3,12 @@ from transformers import pipeline
 
 pipe = pipeline("text-classification", model="kitrofimov/news-clf", top_k=3)
 label_names = dict(zip([f"LABEL_{i}" for i in range(4)], ["World", "Sports", "Business", "Sci/Tech"]))
+examples = [
+    ["NASA announces new discovery on Mars water."],
+    ["Stock markets rally after positive earnings report."],
+    ["Lionel Messi scores a hat-trick in the Champions League."],
+    ["UN summit discusses climate change and global policies."]
+]
 
 def classify(text):
     preds = pipe(text)[0]
@@ -16,6 +22,7 @@ with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column():
             input = gr.Textbox(lines=5, placeholder="Enter your news article...")
+            gr.Examples(examples=examples, inputs=input)
             classify_btn = gr.Button("Classify")
         with gr.Column():
             output = gr.Label(num_top_classes=3)