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app.py
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import os
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import subprocess
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import torch
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import gradio as gr
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from clip_interrogator import Config, Interrogator
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CACHE_URLS = [
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'https://huggingface.co/pharma/ci-preprocess/resolve/main/ViT-H-14_laion2b_s32b_b79k_artists.pkl',
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'https://huggingface.co/pharma/ci-preprocess/resolve/main/ViT-H-14_laion2b_s32b_b79k_flavors.pkl',
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'https://huggingface.co/pharma/ci-preprocess/resolve/main/ViT-H-14_laion2b_s32b_b79k_mediums.pkl',
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'https://huggingface.co/pharma/ci-preprocess/resolve/main/ViT-H-14_laion2b_s32b_b79k_movements.pkl',
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'https://huggingface.co/pharma/ci-preprocess/resolve/main/ViT-H-14_laion2b_s32b_b79k_trendings.pkl',
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]
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os.makedirs('cache', exist_ok=True)
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for url in CACHE_URLS:
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subprocess.run(['wget', url, '-P', 'cache'], stdout=subprocess.PIPE).stdout.decode('utf-8')
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config = Config()
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config.device = 'cuda' if torch.cuda.is_available() else 'cpu'
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config.blip_offload = False if torch.cuda.is_available() else True
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import torch
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import gradio as gr
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from clip_interrogator import Config, Interrogator
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config = Config()
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config.device = 'cuda' if torch.cuda.is_available() else 'cpu'
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config.blip_offload = False if torch.cuda.is_available() else True
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