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Dasboard - AI

Python Flask Flask-Assets Pandas Dash Plotly GitHub Last Commit GitHub Issues GitHub Stars GitHub Forks

Dashboard made from the Python framework called Dash for graphs.

Using Python for BackEnd interpretation and JS, CSS3 & HTML for FrontEnd configuration.

Panel

Getting Started

Get set up locally in two steps:

Environment Variables

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; either development or production.
  • 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 via which lessc.
  • ASSETS_DEBUG (optional): Debug asset creation and bundling in development.
  • LESS_RUN_IN_DEBUG (optional): Debug LESS while in development.
  • COMPRESSOR_DEBUG (optional): Debug asset compression while in development.

Remember never to commit secrets saved in .env files to Github.

Installation

Get up and running with make deploy:

$ git clone https://github.com/DeibydCarranza/Dashboard-AI.git
$ cd Dashboard-AI
$ make deploy

Prerequisites to modify

$ 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

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