Create app.py

app.py

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+import gradio as gr
+from ultralytics import YOLO
+from PIL import Image
+
+# Load YOLOv8 model (first time it downloads weights)
+model = YOLO("yolov8n.pt")
+
+def check_for_car(image):
+    # Run prediction
+    results = model.predict(image)
+
+    # Check for 'car' in detected classes
+    for result in results:
+        for box in result.boxes:
+            cls_id = int(box.cls[0])
+            if model.names[cls_id] == 'car':
+                return "✅ Car detected!"
+    return "❌ No car detected."
+
+iface = gr.Interface(
+    fn=check_for_car,
+    inputs=gr.Image(type="pil", label="Upload an Image"),
+    outputs=gr.Textbox(label="Detection Result"),
+    title="🚗 Car Detector",
+    description="Upload an image to see if a car is present using YOLOv8.",
+)
+
+iface.launch()