Marcin cichy380

Share Counts

I have always struggled with getting all the various share buttons from Facebook, Twitter, Google Plus, Pinterest, etc to align correctly and to not look like a tacky explosion of buttons. Seeing a number of sites rolling their own share buttons with counts, for example The Next Web I decided to look into the various APIs on how to simply return the share count.

If you want to roll up all of these into a single jQuery plugin check out Sharrre

Many of these API calls and methods are undocumented, so anticipate that they will change in the future. Also, if you are planning on rolling these out across a site I would recommend creating a simple endpoint that periodically caches results from all of the APIs so that you are not overloading the services will requests.

Twitter

	/*

	A (very) WIP collection of optimized/recommended jQuery plugin patterns
	from @addyosmani, @cowboy, @ajpiano and others.

	Disclaimer:
	-----------------------
	Whilst the end-goal of this gist is to provide a list of recommended patterns, this
	is still very much a work-in-progress. I am not advocating the use of anything here
	until we've had sufficient time to tweak and weed out what the most useful patterns

	function onViewport(el, elClass, offset, callback) {
	/* Based on http://ejohn.org/blog/learning-from-twitter/ */
	var didScroll = false;
	var this_top;
	var height;
	var top;

	if(!offset) { var offset = 0; }

	$(window).scroll(function() {

	/*
	* Handling Errors using async/await
	* Has to be used inside an async function
	*/
	try {
	const response = await axios.get('https://your.site/api/v1/bla/ble/bli');
	// Success 🎉
	console.log(response);
	} catch (error) {
	// Error 😨

	const API_URL = "https://api.openai.com/v1/chat/completions";
	const MAX_TOKENS = 1500;
	const TEMPERATURE = 0.5;
	const SYSTEM_PROMPT = 'Act as assistant';
	const MESSAGES = ["hello", "hi!", "how are you?"];

	async function openAICompletion(msg) {
	const options = {
	method: "POST",
	headers: {

	const { encode } = require('@nem035/gpt-3-encoder')

	exports.handler = async (event, context) => {

	if (event.httpMethod === 'POST') {

	try {
	const payload = JSON.parse(event.body);
	const text = payload.text;
	return {

	tell application "System Events"
	set frontmostApplication to name of first application process whose frontmost is true
	set browserName to ""

	if frontmostApplication is "Arc" then
	tell application "Arc" to return title of active tab of window 1
	else if frontmostApplication is "Google Chrome" then
	tell application "Google Chrome" to return title of active tab of window 1
	else if frontmostApplication is "Brave Browser" then
	tell application "Brave Browser" to return title of active tab of window 1