john-doe

John doe is simple chatbot AI basing on idea of AIML language. Yaml is used instead of xml.

Getting started

Install the gem

sudo gem install john-doe

Create your rules file (like default.yml)
Sample usage:

require 'rubygems'
require 'john-doe'
cb = JohnDoe::ChatBot.new()

while true  
  print "User: "
  input = gets.chomp
  break if input == ""
  response = cb.get_response input
  puts "Bot:  #{response.text} (emotion:#{response.emotion})"
end

Configuration

If you want to create your own rules file just do:

JohnDoe::ChatBot.new("your_rules.yml")

If you want to use another quotes file just do:

JohnDoe::ChatBot.new("your_rules.yml", "my_quotes.txt")

Rules file

See github.com/dfens/john-doe/raw/master/default.yml to understand what should be in you rules.yml file. Generally all bot responses are based on patterns that are regex-like, for example:

whoareyou:

patterns:
  p1: who are you
  p2: what are you
responses:
  r1: I am chatbot
  r2: I am coolest bot in the net
  r3: "I'm nobody"
  r4: "I am bot:name"

If bot does not recognize the sentence it will use markov chain to build it. Bot learns from what you write to him (he will load this data in new session).

There is also possible to add some universal knowledge for bot:

knowledge:
  bot:
    age: "21"
    sex: "men"
    language: "english"
    name: "John"
    surname: "Doe"
    specimen: "Human"

Now in your answers you may use scheme like: “bot:age”, example

age:
  patterns: 
    p1: * old are you
    p2: your age
    p3: how do you feel
    p4: how do you do
  responses:
    r1: "I am bot:age old"
    r2: "I am bot:age"

Context

You can use context of dialog like in example:

whats:

patterns:
  p1: what's $
  p2: what is $
  p3: Tell me something about $
responses:
  r1: "I'm not sure what's $"

Now if someone will write “tell me something about ruby language” bot will answer “I’m not sure what’s ruby language”

Quotes