Lazy,
AI chat bot service.
Lazy allows you create awesome chat bot with no longer know ai!
Just teach lazy 4 your phase case!
Let him answer you instead!
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 = ; { const lazy = ; // Learn .. await lazy await lazy await lazy // Maybe add action .. await lazy // Or add usual response .. await lazy // Query. await lazy // Helpers.. await lazy await lazy }// Dont forget start your function :);
Ruby Usage
# Or Gemfile --> gem 'lazy.ai', '~> 0.0.1' $> gem install 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 =
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
https://YOURAPPNAME.herokuapp.com/
BASE URL:Train sended data (phrase, category)
POST /learn
Forget trained data (phrase, category)
POST /forget
Add response in category (category, response)
POST /response
Add action in category (category, actions)
POST /action
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