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  A Streamlit app to add structured tags to the datasets
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- To run it, first install Streamlit (e.g. `pip install streamlit --upgrade`), then clone the repo and:
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-
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- ```
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- streamlit run tagging_app.py
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- ```
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  This will give you a `localhost` link you can click to open in your browser.
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  Make sure to hit the `Done? Save to File!` button in the right column when you're done tagging a config!
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- By default the app only load the local datasets. To load and tag all the remote datasets, use:
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- ```
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- streamlit run tagging_app.py -- --load_remote_datasets
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- ```
 
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  A Streamlit app to add structured tags to the datasets
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+ 1. `pip install -r requirements.txt`
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+ 2. `./build_metadata_file.py` will build an up-to-date metadata file from the `datasets/` repo (clones it locally)
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+ 3. `streamlit run tagging_app.py`
 
 
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  This will give you a `localhost` link you can click to open in your browser.
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  Make sure to hit the `Done? Save to File!` button in the right column when you're done tagging a config!
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