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unfinished app.py
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app.py
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from transformers import AutoFeatureExtractor, AutoModelForImageClassification, pipeline
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import gradio as gr
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import timm
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import torch
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nsfw_tf = pipeline("image-classification",
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model=AutoModelForImageClassification.from_pretrained(
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"carbon225/vit-base-patch16-224-hentai"),
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feature_extractor=AutoFeatureExtractor.from_pretrained(
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"carbon225/vit-base-patch16-224-hentai"))
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nsfw_tm = timm.create_model('deepghs/anime_rating', pretrained=True).eval()
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tm_config = timm.data.resolve_model_data_config(model)
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tm_trans = timm.data.create_transform(**tm_config, is_training=False)
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def launch(img):
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output = model(transforms(img).unsqueeze(0))
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