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import os |
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os.system("git clone https://github.com/gradio-app/gradio.git gradio") |
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os.system("cd gradio && git fetch && git checkout flagging-spaces") |
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os.system("pip uninstall -y gradio") |
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os.system("cd gradio && pip install -e .") |
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os.system("cd gradio/frontend && npm install && npm run build") |
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import gradio as gr |
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HF_TOKEN = os.getenv('HF_TOKEN') |
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hf_saver = gr.HuggingFaceDatasetSaver(HF_TOKEN, "test-image-classifier-dataset") |
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gr.Interface.load("huggingface/google/vit-base-patch16-224", flagging_callback=hf_saver).launch() |
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