app.py

from huggingface_hub import hf_hub_download
from ultralytics import YOLO
from supervision import Detections
import cv2
import gradio as gr
from PIL import Image
import numpy as np

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

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

    for i in results:
        im = cv2.rectangle(image, (int(i[0][0]),int(i[0][1])), (int(i[0][2]),int(i[0][3])), (0,0,255), 2)
    return im

interface = gr.Interface(
    fn=detect_faces,
    inputs="image",
    outputs="image",
    title="Face Detection Deep Learning",
    description="Upload an image, and the model will detect faces and draw bounding boxes around them.",
)
interface.launch()