Dr Paul Matthews paulusm

Volumio Now Playing Widget

Tested with Music Library, Spotify Connect, Webradio, Mixcloud.

	// Sources
	// https://dayoneapp.com/blog/journal-prompts/
	// https://www.yourdictionary.com/articles/reflective-journal-prompts
	// find a good one? email me - paulusm gmail com

	const addPrompt = function(){

	const prompts = [
	"Describe a time when you stood up for someone else. How did it make you feel about yourself?",
	"What are your best qualities? How do they shape who you are?",

	var getFeedForTag = function(){
	//Get the selected form options
	var selectedTag = document.getElementById("tag");
	console.log("Selected tag - " + selectedTag.value);
	// Build our API URL
	var mixUrl = "https://api.mixcloud.com/search/?q="+ selectedTag.value + "&type=tag";

	//Create the request
	var req = new XMLHttpRequest();

	git push dokku master
	+ export DOKKU_HOST_ROOT=/home/dokku
	+ DOKKU_HOST_ROOT=/home/dokku
	+ export DOKKU_DISTRO
	++ . /etc/os-release
	++ echo ubuntu
	+ DOKKU_DISTRO=ubuntu
	+ export DOKKU_IMAGE=gliderlabs/herokuish
	+ DOKKU_IMAGE=gliderlabs/herokuish
	+ export DOKKU_LIB_ROOT=/var/lib/dokku

	# Based on "Introduction to Text Mining with R for Information Professionals"
	# http://journal.code4lib.org/articles/11626

	# Topic Modelling using Tidy Text from
	# http://tidytextmining.com/topicmodeling.html

	# Interview data from
	# https://figshare.com/authors/Kevin_Sanders/601331

	# Uncomment to install these if needed

	// The user list
	var nodes=[
	{id:"Bob", label:"Bob", url:"http://www.example.org/~bob"},
	{id:"Alice", label:"Alice", url:"http://www.example.org/~alice"},
	{id:"Fred", label:"Fred", url:"http://www.example.org/~fred"},
	];

	var edges = [];

	$().ready(function(){

	var VCTranslate = function(e){
	"use strict";
	var coreMission = "defeating our Dalek overlords";
	var nouns = ["cake", "crisps", "nuts","class As","drugs","alcohol"];
	var activities = ["smooching", "drinking heavily", "forgetting where they live","the debauchery"];
	var adjectives = ["immature", "scary", "lovely", "epic", "fruity", "gorgeous"]
	var nounCount = 0,activityCount = 0,adjIndex;

	// Find the span elements on the page
	var spans = document.getElementsByTagName("span");

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<title>MadLib JavaScript Example</title>
	<meta charset="utf-8">
	<style>
	body{font-family:helvetica, sans-serif; font-size:2em;}
	input{font-family:helvetica, sans-serif; font-size:1em; display:block; margin:auto; }
	#output{padding:2% 10% 2% 5%;}
	</style>

	var feed = "http://info.uwe.ac.uk/news/xml/uwenewsrss.xml";
	var api = "http://ajax.googleapis.com/ajax/services/feed/load?v=1.0&callback=displayFeed&output=json&q=" + encodeURIComponent(feed);

	//This creates a script element to make a "jsonp" request each time the page is requested
	var script = document.createElement('script');
	script.src = api;
	document.getElementsByTagName('head')[0].appendChild(script);
	//use the data that comes back to put into the HTML div
	var displayFeed = function(data){
	// loop through the feed items

	<form action="saveform.php" method="post">
	<label for="name">Name:</label>
	<input type="text" id="name" name="name" value="enter your name">
	<label for="comment">Comment:</label>
	<textarea id="comment" name="comment" rows="10" cols="25" value="comment">
	Please give me feedback!
	</textarea>
	<input type="submit" value="Save Comment" id="submit">
	</form>