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!
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()
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