Metadata-Version: 2.1
Name: PharmaPy
Version: 0.0.2
Summary: A package utilizing Named-Entity Recognition (NER) model to identify prescription drugs present in a provided text sample
Author-email: Ronoy Sarkar <ronoysarkar.mail@gmail.com>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: torch
Requires-Dist: transformers
Description-Content-Type: text/markdown

This is a python package that provides functionality for a Named-Entity Recognition (NER) model 
to identify names of pharmaceutical drugs within a text sample.


## Installation

The package can be installed from the command line with the following command

> pip install PharmaPy

## Sample Usage

`from PharmaPy import request`

`sampletext = "After surgery, David was given oxycodone for pain, prednisone to reduce inflammation, and benazepril for blood pressure control."`

`request.get(sampletext)`


