OGBA-B/Interestify-

An application that uses Twitter data to determine user interest in a particular topic.

Interestify

An application that uses Twitter data to determine user interest in a particular topic.

Getting started

Setting up Backend

Install pipenv

brew install pipenv

Create virtual environment

pipenv --three

Install project dependencies

pipenv install --dev

Activate virtual environment

pipenv shell

Download sample tweets from NLTK

# Start an interative python session
python3
# import the nltk
import nltk
# Download the sample tweets from the NLTK package
nltk.download('twitter_samples')
nltk.download('punkt')
nltk.download('wordnet')
nltk.download('averaged_perceptron_tagger')
nltk.download('stopwords')
# Use exit() or Ctrl-D to exit 

Adding/Updating python packages

When installing new packages, use pipenv when install new packages

# e.g. sample package called colors
pipenv install colors --dev

Setting up Frontend

Install dependencies

cd client/
yarn

Serve from flask

To server the frontend from the server, we first need to build the app.

yarn build

Note: This is not how you would work on the frontend.

Working on the frontend

To work on the frontend use the react development server, to avoid having to build after every change. See client/README.md for more info

yarn start

Adding/Updating JS packages

New packages should be installed with yarn which updated the package.json file and the lockfile yarn.lock

# e.g. installing the package colors
cd client/
yarn add colors