app.py

import os
from PIL import Image
import gradio as gr
from torchvision import transforms
import easydict
import torch
import numpy as np
import model_build



psp = model_build.build_psp()
stylegan2 = model_build.build_stylegan2(network_pkl = 'pretrained/ohayou_face2.pkl')

pretransform = transforms.Compose([
    transforms.Resize((256, 256)),
    transforms.ToTensor(),
    transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])])
    
def pipeline(img):
    img = model_build.img_preprocess(img, pretransform)
    with torch.no_grad():
        latent_space = psp(img.float(), randomize_noise=True, resize=False, return_latents=True)
    img = stylegan2(latent_space, noise_mode='none')
    img = Image.fromarray(np.array((img.permute(0, 2, 3, 1) * 127.5 + 128).clamp(0, 255).to(torch.uint8).squeeze(0)))
    img.save('output.png')
    return 'output.png'
    
examples=[['1.png'], ['2.png'], ['3.png'], ['4.png'], ['5.png']]
description="이미지 업로드 후 연필모양 아이콘 누르면 정사각형으로 자르기 할 수 있습니다. 디테일은 좀 떨어짐. 잘 안되면 얼굴 클로즈업하면 좀 나아요. After uploading the image, you can square crop."
gr.Interface(pipeline, [gr.inputs.Image(type="pil")], gr.outputs.Image(type="file"),description=description,allow_flagging=False,examples=examples,allow_screenshot=False,enable_queue=False).launch()