from transformers import AutoFeatureExtractor, AutoModelForImageClassification, pipeline
import gradio as gr
import timm
import torch

nsfw_tf = pipeline("image-classification",
                     model=AutoModelForImageClassification.from_pretrained(
                         "carbon225/vit-base-patch16-224-hentai"),
                     feature_extractor=AutoFeatureExtractor.from_pretrained(
                         "carbon225/vit-base-patch16-224-hentai"))

nsfw_tm = timm.create_model('deepghs/anime_rating', pretrained=True).eval()
tm_config = timm.data.resolve_model_data_config(model)
tm_trans = timm.data.create_transform(**tm_config, is_training=False)

def launch(img):
    output = model(transforms(img).unsqueeze(0))