app.py

import os

import gradio as gr

model = None


def predict_image(img, conf_threshold):
    """Predicts objects in an image using a YOLOv8 model with adjustable confidence and IOU thresholds."""
    os.chdir('/home/user/app/model')
    os.system(f'/home/user/app/model/darknet detect /home/user/app/model/cfg/yolov2.cfg /home/user/app/model/yolov2.weights {img} -thresh {conf_threshold}')

    return '/home/user/app/model/predictions.jpg'


iface = gr.Interface(
    fn=predict_image,
    inputs=[
        gr.Image(type="filepath", label="Upload Image"),
        gr.Slider(minimum=0, maximum=1, value=0.25, label="Confidence threshold"),
    ],
    outputs=gr.Image(type="filepath", label="Result"),
    title="OneThousand YoloV2 Person Detection",
    description="Upload images for object detecting using YoloV2 model (https://pjreddie.com/darknet/yolov2/). Inference can take up to 15s.",
)

iface.launch()