Update app.py

app.py

@@ -1,6 +1,9 @@
 import gradio as gr
 from ultralytics import YOLO
 from PIL import Image
+import os
+
+
 
 # Load the trained YOLOv8 model
 model = YOLO("best.pt")
@@ -11,14 +14,24 @@ def predict(image):
     results_img = results[0].plot()  # Get image with bounding boxes
     return Image.fromarray(results_img)
 
+# Get example images from the images folder
+def get_example_images():
+    examples = []
+    image_folder = "images"
+    for filename in os.listdir(image_folder):
+        if filename.lower().endswith(('.png', '.jpg', '.jpeg')):
+            examples.append(os.path.join(image_folder, filename))
+    return examples
+
 # Create Gradio interface
 interface = gr.Interface(
     fn=predict, 
     inputs=gr.Image(type="pil"), 
     outputs=gr.Image(type="pil"),
     title="Helmet Detection with YOLOv8",
-    description="Upload an image to detect helmets."
+    description="Upload an image to detect helmets.",
+    examples=get_example_images()
 )
 
-# Launch Gradio app
-interface.launch(share=True)
+# Launch the interface
+interface.launch(share=True)