app.py

import gradio as gr
import cv2
import numpy as np

from PIL import Image
from transparent_background import Remover

# Load model
remover = Remover(mode='fast') # custom setting

# Usage for image



def doo(image):
    img = Image.fromarray(image).convert('RGB') # read image
    out = remover.process(img) # default setting - transparent background
    
    out.save('output.png') # save result
    return out

iface = gr.Interface(fn=doo, inputs="image", outputs="image")
iface.launch()