Update app.py

app.py

@@ -25,9 +25,10 @@ def classify_image(img):
     return {class_labels[i]: float(predictions[0][i]) for i in range(len(class_labels))}, confidence
 
 # Example images (local paths or URLs)
-#example_images = [
-    #'examples/fresh.jpg',  # Replace with actual local file paths or URLs
-#]
+example_images = [
+    'head.jpg',  # Replace with actual local file paths or URLs
+    'torso.jpg' 
+]
 
 # Gradio interface
 demo = gr.Interface(
@@ -36,6 +37,8 @@ demo = gr.Interface(
     description = "Predict the bodypart of human bodypart images. This is a demo of our human bodypart image <a href=\"https://huggingface.co/icputrd/Inception-V3-Human-Bodypart-Classifier\">classifier</a>.",
     inputs=gr.Image(type="pil"),
     outputs=[gr.Label(num_top_classes=len(class_labels)), gr.Number()],
+    examples=example_images,
+    cache_examples=False,
     live=True,
 )