using CLIP to filter out non nude photos

import torch
import clip
from PIL import Image
from pathlib import Path
import random, sys, string
import shutil
import os

device = "cuda" if torch.cuda.is_available() else "cpu"
model, preprocess = clip.load("ViT-B/32", device=device)
filelist = sorted(Path(sys.argv[1]).rglob('*.jpg'))
for file in filelist:
        file = str(file)

        image = preprocess(Image.open(file)).unsqueeze(0).to(device)
        text = clip.tokenize(["a girl in lingerie", "a naked girl"]).to(device)

        with torch.no_grad():
                image_features = model.encode_image(image)
                text_features = model.encode_text(text)
                logits_per_image, logits_per_text = model(image, text3)
                probs = logits_per_image.softmax(dim=-1).cpu().numpy()

                print(file, "lingerie/naked probs:", probs)  

                if probs[0][0] > 0.9:
                        shutil.copyfile(file, "lingerie/"+str(probs3[0][1])+"-"+os.path.basename(file))
                if probs[0][1] > 0.9:
                        shutil.copyfile(file, "naked/"+str(probs3[0][1])+"-"+os.path.basename(file))