app.py

import gradio as gr
import PIL.Image as Image

from ultralytics import YOLO

model = None


def predict_image(img):
    """Predicts objects in an image using a YOLOv8 model with adjustable confidence and IOU thresholds."""
    model = YOLO("best.pt")
    # model.predict(source=img, save=True)
    results = model.predict(
        source=img,
        conf=0.25,
        iou=0.25,
        show_labels=True,
        show_conf=True,
        imgsz=640,
    )
    # results = model(img)

    for r in results:
        im_array = r.plot()
        im = Image.fromarray(im_array[..., ::-1])

    return im
    
    # return results[0].show()


demo = gr.Interface(
    fn=predict_image,
    inputs=gr.Image(type="pil", label="Upload Image"),
    outputs=gr.Image(type="pil", label="Result"),
    # outputs="image",
    title="Burks YOLO Coin Detector 🚀",
    description="Upload your image, stupid.",
)
demo.launch(share=True)