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antoniofll edited this page Jan 30, 2017 · 2 revisions

First of all, you will need to install certain packages and clone Sefarad repository in your computer. Follow these steps to clone and install Sefarad:

  • Download and extract the compressed files or clone the repository into your machine
    git clone https://github.com/gsi-upm/sefarad-3.0.git
  • Configure and run Sefarad
    python launch.py
  • Open Sefarad. You can change the default localhost port (8080) by editing the web.py file.
    http://localhost:8000

After this, you will need to install some additional pluggins in order to import your custom dataset and create your own widgets inside Sefarad.

  1. Install Luigi
    pip install luigi
  2. Install Elastic Search (https://www.elastic.co/guide/en/elasticsearch/reference/current/setup.html)
    pip install elasticsearch
    And run it locally by default in port 9200
    ./bin/elasticsearch

From this point, you must have installed Sefarad successfully in your machine. Checkout for more information about how to use and customize this framework.

Clone this wiki locally