How do I trigger a print message if a class is detected on webcam?

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In the below code how would I have a print message or perform any kind of action really if the class with index 0 for example, is detected in the livestream?

import cv2
from ultralytics import YOLO

# Load the YOLOv8 model
model = YOLO('yolov8n.pt')

# Open the video file (use 0 for webcam or "test.mp4" for a local file)
video_path = 0
cap = cv2.VideoCapture(video_path)

# Set the desired frame size
frame_width = 1280
frame_height = 720

# Loop through the video frames
while cap.isOpened():
    # Read a frame from the video
    success, frame = cap.read()

    if success:
        # Resize the frame to the desired size
        frame = cv2.resize(frame, (frame_width, frame_height))

        # Run YOLOv8 inference on the frame
        results = model(frame, conf=0.80)

        # Visualize the results on the frame
        annotated_frame = results[0].plot()

        # Display the annotated frame
        cv2.imshow("Live Feed with AI Object Detection", annotated_frame)

        # Break the loop if 'q' is pressed
        if cv2.waitKey(1) & 0xFF == ord("q"):
            break

    else:
        # Break the loop if the end of the video is reached
        break

# Release the video capture object and close the display window
cap.release()
cv2.destroyAllWindows()