Metadata-Version: 2.1
Name: text_selector
Version: 2.3.0
Summary: A Custom Jupyter Widget Library for selecting text and assigning tag to selected span
Home-page: https://github.com/randomunrandom/text_selector
Author: Danil Kireev
Author-email: danilunrandom@gmail.com
License: UNKNOWN
Description: text_selector
        ===============================
        A Custom Jupyter Widget for selecting part of text and assingning it one of tags.  
        
        Use the widget with the active learning tool:  
        [https://github.com/IINemo/active_learning_toolbox/tree/seq](https://github.com/IINemo/active_learning_toolbox/tree/seq)
        
        Usage:
        ------
        An example of use case can be found in [example.ipynb](https://github.com/randomunrandom/text_selector/blob/master/example.ipynb)\
        Note: if you have less than 10 tags you don't need to pass colors, otherwise you have too.
        
        The result is represented via widgets public field `res`.
        It can be in 1 of 3 states:
        1. Empty: nobody selected anything in widget
        2. Containing string of `None`: text doesn't contain any squences and user checked this widget as "Done"
        3. Containing dicts with selected sequences
        
        
        Installation
        ------------
        To install this extension simply run folowing comands:
            
            $ pip install text_selector
            $ jupyter nbextension enable --py --sys-prefix text_selector
        
        To install for jupyterlab
        
            $ jupyter labextension install text_selector
        
        For a development installation (requires npm) run in terminal:
        
            $ git clone https://github.com/randomunrandom/text_selector.git
            $ cd text_selector
            $ pip install -e .
            $ jupyter nbextension install --py --symlink --sys-prefix text_selector
            $ jupyter nbextension enable --py --sys-prefix text_selector
            $ jupyter labextension install js
        
        Docker
        ------
        To create and start docker container run:
        
            $ git clone https://github.com/randomunrandom/text_selector.git
            $ cd text_selector
            $ docker build -t text_selector .
            $ docker run -p 8888:8888 -it --rm --name text_selector text_selector
        
        if port 8888 is occupied change ${port} to any available port
        
            $ docker run -p ${port}:8888 -it --rm --name text_selector text_selector
        
        
        Cite
        ----
        ````
        @inproceedings{shelmanov2019bibm,
            title={Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts},
            author={Artem Shelmanov and Vadim Liventsev and Danil Kireev and Nikita Khromov and Alexander Panchenko and Irina Fedulova and Dmitry V. Dylov},
            booktitle={Proceedings of International Conference on Bioinformatics & Biomedicine (BIBM)},
            year={2019}
        }
        
Keywords: ipython,jupyter,widgets
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Framework :: IPython
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Multimedia :: Graphics
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Description-Content-Type: text/markdown
