# load libraries
from huggingface_hub import hf_hub_download
from ultralytics import YOLO
from supervision import Detections
from PIL import Image
import cv2
import supervision as sv
import gradio as gr

model_path = hf_hub_download(repo_id="arnabdhar/YOLOv8-Face-Detection", filename="model.pt")

# load model
model = YOLO(model_path)

def process_image(image):

    output = model(image)
    results = Detections.from_ultralytics(output[0])

    bounding_box_annotator = sv.BoundingBoxAnnotator()
    annotated_frame = bounding_box_annotator.annotate(
        scene = image.copy(),
        detections = results
    )
    return annotated_frame

demo = gr.Interface(fn=process_image, inputs="image", outputs="image")
demo.launch()