HCMLFinalProject

Detecting Depression Via Twitter

HOW TO RUN LOCALLY

Clone this repo

• in order to get the model locally you will need to use git lfs

1. install git lfs - HomeBrew: $ brew install git-lfs - MacPorts: $ port install git-lfs (https://docs.github.com/en/free-pro-team@latest/github/managing-large-files/installing-git-large-file-storage)
2. $ git lfs install
3. pull model: $ git lfs pull

To create and start virtual environment:

1. $ cd depression-detector
2. $ cd api
3. $ pip install virtualenv
4. $ python3 -m venv venv (make sure to run this to name your virtual environment venv)
5. $ source venv/bin/activate

To get dependencies:

1. $ cd depression-detector
2. $ npm install
3. $ pip install -r requirements.txt

To start frontend:

1. cd depression-detector
2. $ yarn start NOTE: if you are having issues with Yarn, please try - MAC: brew install PC: choco install yarn
3. open up browser window (please use Chrome) and paste http://localhost:3000.

To start backend:

1. switch to a second terminal and navigate to depression-detector
2. $ yarn start-api Note: if this doesn't work, make sure your virtual environment is called venv (step 4 above). If not, cd into api and run venv/bin/flask run with your correct virtual env name

If this doesn't work, try again with a new virtual environment :)