this app

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from ultralytics import YOLO
+from PIL import Image
+
+# Load the trained YOLOv8 model
+model = YOLO(r"C:\Users\yahya\Downloads\best.pt")
+
+# Define the prediction function
+def predict(image):
+    results = model(image)  # Run YOLOv8 model on the uploaded image
+    results_img = results[0].plot()  # Get image with bounding boxes
+    return Image.fromarray(results_img)
+
+# 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."
+)
+
+# Launch Gradio app
+interface.launch(share=True)