Config the Reveal exporter to use a local reveal.js library instead of a CDN.

using_local_reveal.ipynb

{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "IPython nbconvert slides exporter."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Using a local copy of reveal.js library."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "If you have low connectivity, it is better to load a local copy of the reveal.js library.\n",
      "You can easily configure this behaviour using a config object from the IPython machinery.\n",
      "Below, you have one way to do it:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.nbconvert.exporters import SlidesExporter\n",
      "from IPython.config import Config\n",
      "\n",
      "from IPython.nbformat import current as nbformat\n",
      "\n",
      "infile = \"your_slides.ipynb\" # load the name of your slideshow\n",
      "outfile = \"your_slides.slides.html\"\n",
      "\n",
      "notebook = open(infile).read()\n",
      "notebook_json = nbformat.reads_json(notebook)\n",
      "\n",
      "# This is the config object I talked before, in the 'url_prefix', \n",
      "# you can set you proper location of your local reveal.js library,\n",
      "# i.e. if the reveal.js is located in the same directory as your \n",
      "# your_slideshow.reveal.html, then set 'url_prefix':'reveal.js'.\n",
      "c = Config({\n",
      "            'RevealHelpTransformer':{\n",
      "                'enabled':True,\n",
      "                'url_prefix':'reveal.js',\n",
      "                },                \n",
      "            })\n",
      "\n",
      "exportHtml = SlidesExporter(config=c)\n",
      "(body,resources) = exportHtml.from_notebook_node(notebook_json)\n",
      "\n",
      "open(outfile, 'w').write(body.encode('utf-8'))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Enjoy!**\n",
      "\n",
      "**Dami\u00e1n Avila.**"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}