add examples

app.py

@@ -183,7 +183,7 @@ def gradio_interface(dataset, postfix):
             print(f"Loading dataset: {dataset}")
             load_corpus_embeddings(dataset)
             load_queries(dataset)
-            
+
     return run_evaluation(dataset, postfix)
 
 
@@ -198,6 +198,10 @@ iface = gr.Interface(
     outputs=gr.JSON(label="Evaluation Results"),
     title="Promptriever Demo",
     description="Select a dataset and enter a prompt to evaluate the model's performance. Note: it takes about **ten seconds** to evaluate.",
+    examples=[
+        ["scifact", ""],
+        ["scifact", "When judging the relevance of a document, focus on the pragmatics of the query and consider irrelevant any documents for which the user would have used a different query."]
+    ]
 )
 
 # Launch the interface