npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

lazy.telegram

v1.0.13

Published

Have your own open-source ai chatbot powered lazy.ai.

Downloads

16

Readme

Lazy,

AI chat bot service.

You can try in telegram already: Lets chat with @LazyAIBot, my Turkish friends already teached somethings like as greetings. If you want host on your own, go ahead do this!

Create telegram bot

Telegram Bot Deploy: Deploy

Express HTTP Endpoint Deploy: Deploy


Node Usage

# Or npm install --save lazy.ai
$> yarn add lazy.ai

const Lazy = require('lazy.ai');

async function start() {
  const lazy = new Lazy();
  // Learn ..
  console.log(await lazy.learn({phrase: 'hello', category: 'greetings'}));
  console.log(await lazy.learn({phrase: 'hi', category: 'greetings'}));
  console.log(await lazy.learn({phrase: 'Hello there!', category: 'greetings'}));
  // Result ..
  console.log(await lazy.query({phrase: "hello dude!"}));
  // Helpers..
  console.log(await lazy.addResponse({category: 'greetings', response: 'Hi there!'}));
  console.log(await lazy.getResponses({category: 'greetings'}));
  console.log(await lazy.getCategories());
}
// Dont forget start your function :)
start();

Ruby Usage

# Or Gemfile --> gem 'lazy.ai', '~> 0.0.1'
$> gem install lazy.ai
require 'lazy.ai'

# Change with a valid lazy chatbot server url.
lazy = Lazy.new(host: "lazy.herokuapp.com")

puts lazy.learn(phrase: "hello", category: "greetings")

puts lazy.add_response(response: "Hello there", category: "greetings")

puts lazy.query(phrase: "hello dude!")

puts lazy.get_responses(category: "greetings")

puts lazy.get_categories()

puts lazy.save()

puts lazy.load()

Python Usage

# Or python setup.py install
$> pip install lazy-ai
import lazyai

# Change with a valid lazy chatbot server url.
lazy = lazyai.Lazy()

lazy.learn("hello", "greetings")

lazy.add_response("greetings", "Hello world!")

lazy.query("hello dude!")

lazy.get_responses("greetings")

lazy.get_categories()

lazy.save()

lazy.load()

See in action

Telegram Bot Usage

Learn something..

/learn hi - greeting

Add some greeting message..

/add greeting - Hello there!
/add greeting - Hello buddy!

Show categories

/categories

Show responses

/responses greeting

Just quiet

/quiet

Save trained output

/save

Load trained output

/load

Express HTTP Endpoint Usage

BASE URL: https://YOURAPPNAME.herokuapp.com/

Train sended data (phrase, category)

POST /learn

Forget trained data (phrase, category)

POST /forget

Add response in category (category, response)

POST /response

Do query in trained data and response random response text.

POST /query

Get all trained categories (-)

GET /categories

Save trained data.

GET /save

Load already trained and saved data.

GET /load

Get responses order by category.

GET /responses/:category

License & Contributors

Special thanks for ruby client @Yengas Special thanks for python client @ahmetkotan

MIT © cagataycali