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Web tool to host a machine learning model that extracts and identify labels using named entity recognition techniques. Implemented in MERN stack.

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yokuse/Entity-Recognition-WebApp

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Introduction

TODO: Give a short introduction of your project. Let this section explain the objectives or the motivation behind this project.

Getting Started

TODO: Guide users through getting your code up and running on their own system. In this section you can talk about:

1. Installation process

# web app
cd app
npm install
cd client
npm install
cd ..
npm run dev

# flask service
# set up your python venv 
virtualenv env-name
source ${wtv path to your env}/env-name/bin/activate
# install flask dep in venv
# make sure u are in ur venv and in flask-ner-service dir
pip install -r requirements.txt
# set up FLASK_APP environment variable
export FLASK_APP=ner.py
flask run

1.1 PORT

Service PORT
reactJS 3000
nodeJS 5001
flask 5000
  1. Software dependencies
  2. Latest releases
  3. API references

Build and Test

TODO: Describe and show how to build your code and run the tests.

Contribute

TODO: Explain how other users and developers can contribute to make your code better.

If you want to learn more about creating good readme files then refer the following guidelines. You can also seek inspiration from the below readme files:

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Web tool to host a machine learning model that extracts and identify labels using named entity recognition techniques. Implemented in MERN stack.

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