Dashboard made from the Python framework called Dash for graphs.
Using Python for BackEnd interpretation and JS, CSS3 & HTML for FrontEnd configuration.
Get set up locally in two steps:
Replace the values in .env.example with your values and rename this file to .env:
FLASK_ENV: The environment in which to run your application; eitherdevelopmentorproduction.SECRET_KEY: Randomly generated string of characters used to encrypt your app's data.LESS_BIN(optional for static assets): Path to your local LESS installation viawhich lessc.ASSETS_DEBUG(optional): Debug asset creation and bundling indevelopment.LESS_RUN_IN_DEBUG(optional): Debug LESS while indevelopment.COMPRESSOR_DEBUG(optional): Debug asset compression while indevelopment.
Remember never to commit secrets saved in .env files to Github.
Get up and running with make deploy:
$ git clone https://github.com/DeibydCarranza/Dashboard-AI.git
$ cd Dashboard-AI
$ make deploy$ sudo apt-get install python3-pip
$ sudo apt install npm
$ sudo npm install -g less
$ pip install lesscpy
$ export PATH=$PATH:/usr/local/bin/lessc

