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app.py
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import os
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import gradio as gr
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os.system("pip install torch==1.10.1+cu111 torchvision==0.11.2+cu111 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html")
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os.system("git clone https://github.com/Sleepychord/Image-Local-Attention")
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os.chdir("Image-Local-Attention")
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os.system("python setup.py install")
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os.chdir("..")
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os.system("git clone https://github.com/NVIDIA/apex")
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os.chdir("apex")
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os.system('pip install -v --disable-pip-version-check --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./')
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os.chdir("..")
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os.system("git clone https://github.com/THUDM/CogView2")
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os.chdir("CogView2")
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os.system("gdown https://drive.google.com/uc?id=1-2nI2TTUOdiQ2WpydGafk_bZIZggQBK4")
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os.system("7za x coglm.zip")
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os.system("gdown https://drive.google.com/uc?id=1ulfXJFstYZUestvWcQIadKkNNDVbpIdM")
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os.mkdir("/root/.icetk_models")
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os.system("cp /home/user/app/CogView2/ice_image.pt /root/.icetk_models/ice_image.pt")
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def inference(text):
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with open("input.txt") as f:
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lines = f.readlines()
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lines[0] = text
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with open("input.txt", "w") as f:
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f.writelines(lines)
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os.system("python cogview2_text2image.py --mode inference --fp16 --input-source input.txt --output-path samples_sat_v0.2 --batch-size 4 --max-inference-batch-size 8 --only-first-stage")
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return "/content/CogView2/output.png"
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gr.Interface(inference,"text","image",title="CogView 2").launch(debug=True,enable_queue=True)
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