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import gradio as gr
from huggingface_hub import hf_hub_download
from ultralytics import YOLO
from supervision import Detections
from PIL import Image
import cv2
model_path = hf_hub_download(repo_id="arnabdhar/YOLOv8-Face-Detection", filename="model.pt")
model = YOLO(model_path)
def greet(img):
output = model(img)
results = Detections.from_ultralytics(output[0])
arr_int = results.xyxy.astype(int)
for x, y, x2, y2 in arr_int:
cv2.rectangle(img, (x, y), (x2, y2), (0, 255, 0), 2)
return img
demo = gr.Interface(fn=greet, inputs="image", outputs="image")
if __name__ == "__main__":
demo.launch(show_api=False, share=True)
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