Metadata-Version: 2.1
Name: scienceio
Version: 0.3.3
Summary: ScienceIO Python SDK
Home-page: https://github.com/ScienceIO
Author: scienceio
Author-email: info@science.io
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/ScienceIO/issues
Description: # ScienceIO
        
        The official ScienceIO Python SDK for the BioNLP API.
        
        This package is available via [Pypi:scienceIO](https://pypi.org/project/scienceio/).
        
        <!-- ## To install
        
        - Get code
        - Run `python setup.py bdist_wheel` to build
        - Install with `pip install dist/scienceio-0.1.1-py3-none-any.whl` -->
        
        ## Usage and examples
        
        1. Install ScienceIO
        
           ```python
           pip install scienceio
           ```
        
        3. Register:
        
           ```python
           from scienceio import ScienceIO
           ScienceIO.register(
               first_name="Demo name",
               last_name="Demo lastname",
               email="your@email.com"
           )
           ```
           
           You will be sent an email asking you to verify your account. As part of the process you will be asked to create a password.
        
        
        2. Create a directory `.scio` in your home directory (Mac users, your home directory is `/Users/{username}`. Linux users, your home directory is `/home/{username}`. Windows users, your home directory is `C:\\Users\{username})` Inside this directory, create a text file called `config` containing your credentials:
        
           ```
           [SETTINGS]
           email=your@email.com
           ```
        
        4. Query the BioNLP API:
        
           ```python
           scio = ScienceIO()
           query_text = (
             'The COVID-19 pandemic has shown a markedly low proportion of '
             'cases among children 1–4. Age disparities in observed cases could be '
             'explained by children having lower susceptibility to infection, lower '
             'propensity to show clinical symptoms or both.'
           )
         
           results = scio.annotate(query_text)
           print(results)
           ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown
