tslr.io - NLP api

NLP text summarization, analysis, and classification pipelines built using TensorFlow and Transformers with a Flask api

Table of Contents

1. About The Project
   • Built With
2. Roadmap
3. Getting Started
   • Prerequisites
   • Installation
4. Usage
5. Contributing
6. License
7. Contact

About The Project

Built With

• Python
• Tensorflow
• Flask
• Transformers

Roadmap

Getting Started

Prerequisites

Python >= 3.5

Installation

1. Clone the repo

   git clone https://github.com/tslr/ml
   cd ml

2. Install Virtualenv

   pip install virtualenv

3. Create virtualenv

   virtualenv venv --python=3.8

   or

   python3 -m virtualenv venv --python=3.8

4. Activate Virtualenv

   source ./venv/bin/activate

5. Install all dependencies

   pip install -r requirements.txt

Usage

-> Run the flask app

cd app
python app.py

-> Run as a docker container

./start.sh

The api runs at localhost:5000/.

Contributing

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/{feature})
3. Commit your Changes (git commit -m 'Add some feature')
4. Push to the Branch (git push origin feature/feature)
5. Open a Pull Request

License

Contact

Zayaan Moez - @zayaanmoez | Malcolm Yeh - @malcolmyeh

Project Link: https://github.com/tlsrio/ml