app.py

import gradio as gr
import PIL.Image as Image

from ultralytics import ASSETS, YOLO

model = YOLO("https://huggingface.co/spaces/gpbhupinder/test/blob/main/model_-%2023%20june%202024%2019_22.pt")


def predict_image(img):
    """Predicts objects in an image using a YOLOv8 model."""
    results = model.predict(
        source=img,
        
        show_labels=True,
        show_conf=True,
        imgsz=640,

    )

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

    return im





iface = gr.Interface(
    fn=predict_image,
    inputs=[
        gr.Image(type="pil", label="Upload Image"),
        # gr.Slider(minimum=0, maximum=1, value=0.25, label="Confidence threshold"),
        # gr.Slider(minimum=0, maximum=1, value=0.45, label="IoU threshold"),
    ],
    outputs=gr.Image(type="pil", label="Result"),
    title="GP Wolf Classifier",
    description="Upload images for inference.",
    examples=[
        ["gp.jpg"],
        ["wolf.jpg"],
    ],
)

if __name__ == "__main__":
    iface.launch()