add more example

app.py

@@ -139,10 +139,15 @@ def predict(img):
 # Gradio UI (Webcam + Upload)
 # ============================
 ds = load_dataset("TristanKE/RemainingLifespanPredictionFaces", split="train")
-sample = ds[1]
-img, target = sample["image"], sample["remaining_lifespan"]
-img.save("example.jpg") 
-
+sample1 = ds[1]
+img1= sample1["image"]
+img1.save("example1.jpg") 
+sample2 = ds[2]
+img2= sample2["image"]
+img2.save("example2.jpg") 
+sample3 = ds[3]
+img3= sample3["image"]
+img3.save("example3.jpg") 
 
 demo = gr.Interface(
     fn=predict,
@@ -151,7 +156,7 @@ demo = gr.Interface(
     live=False,
     title="Lifespan Predictor (Demo)",
     description="Upload or take a face photo. Model predicts remaining lifespan (years).",
-    examples=[["example.jpg"]],  # 👈 make sure example.jpg exists in repo
+    examples=[["example1.jpg"],["example2.jpg"],["example3.jpg"]],  # 👈 make sure example.jpg exists in repo
     css="""
     #pred-box {
         height: 500px;               /* fixed height to match image */