app.py

## Modified from Akhaliq Hugging Face Demo
## https://huggingface.co/akhaliq

import gradio as gr
import os
import cv2

def inference(file, mask, model):
    im = cv2.imread(file, cv2.IMREAD_COLOR)
    cv2.imwrite(os.path.join("input.png"), im)

    from rembg import new_session, remove

    input_path = 'input.png'
    output_path = 'output.png'

    with open(input_path, 'rb') as i:
        with open(output_path, 'wb') as o:
            input = i.read()
            output = remove(
                input, 
                session = new_session(model), 
                only_mask = (True if mask == "Mask only" else False)
            ) 
            
            
            
            o.write(output)
    return os.path.join("output.png")
        
title = "RemBG"
description = "Gradio demo for RemBG. To use it, simply upload your image and wait. Read more at the link below."
article = "<p style='text-align: center;'><a href='https://github.com/danielgatis/rembg' target='_blank'>Github Repo</a></p>"


gr.Interface(
    inference, 
    [
        gr.inputs.Image(type="filepath", label="Input"),
        gr.inputs.Radio(
            [
                "Default", 
                "Mask only"
            ], 
            type="value",
            default="Default",
            label="Choices"
        ),
        gr.inputs.Dropdown([
            "u2net", 
            "u2netp", 
            "u2net_human_seg", 
            "u2net_cloth_seg", 
            "silueta",
            "isnet-general-use",
            "isnet-anime",
            "sam",
            ], 
            type="value",
            default="isnet-general-use",
            label="Models"
        ),
    ], 
    gr.outputs.Image(type="filepath", label="Output"),
    title=title,
    description=description,
    article=article,
    examples=[["lion.png", "Default", "u2net"], ["girl.jpg", "Default", "u2net"], ["anime-girl.jpg", "Default", "isnet-anime"]],
    enable_queue=True
    ).launch()