JSPM

natural-language-flows

0.0.1
  • ESM via JSPM
  • ES Module Entrypoint
  • Export Map
  • Keywords
  • License
  • Repository URL
  • TypeScript Types
  • README
  • Created
  • Published
  • 0
  • Score
    100M100P100Q20097F
  • License MIT

A very simple prototype of Natural Language Flow builder and Natural Language Generator for bots, using edges of contexts, and based on intents/skills defined by the user.

Package Exports

  • natural-language-flows

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (natural-language-flows) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Natural language flows

A very simple prototype of Natural Language Flow builder and Natural Language Generator for bots, using edges of contexts, and based on intents/skills defined by the user.

Installation

npm install natural-language-flows

How it works

// Require the natural language flows
var nlf = require('natural-language-flows');

// Initialize the bot
var bot = new nlf.Bot();

// Set a default non matched reply
bot.NonMatchedReply = "Sorry, I do not understand...";

// Add some bot's skills/intents with edges of contexts
bot.AddMultipleCommands([
{
    intent: 'buy-car',
    utterances: [
        "I want to {action} a {product}",
        "I should {action} a {product}",
        "Can you {action} me one {product}?"
    ],
    entities: {
        action: ['buy','have','take','give'],
        product: ['car','automobile','ferrari','sport car']
    },
    response: {
        default: 'Yes, of course! Could you tell me which model of Ferrari? (F12/GTC4/J50/California T/488 GTB)',
        context: 'car-model',
        no_need_context: true
    }
},{
    intent: 'car-model',
    utterances: [
        "{model}",
    ],
    entities: {
        model: ['F12','GTC4','J50','California T','488 GTB']
    },
    response: {
        default: 'Oh, great! Do you confirm you want to purchase it? (yes/no)',
        context: 'car-yes-no'
    }
},{
    intent: 'car-yes-no',
    utterances: [
        "{qresp}",
    ],
    entities: {
        qresp: ['yes','no']
    },
    response: {
        default: 'Sorry, could you confirm the purchase? (yes/no)',
        context: 'car-yes-no',
        conditionals: [
            {
                conditions: {qresp: 'yes'},
                resp: 'Wonderful! A great purchase!',
                context: 'buy-car'
            },
            {
                conditions: {qresp: 'no'},
                resp: "I'm sorry, do you want buy another model? (F12/GTC4/J50/California T/488 GTB)",
                context: 'car-model'
            }
        ]
    }
}]);

Start a discussion with the bot after skills' training:

// Printing the full discussion's objects
esit = bot.answer({text: 'I want to buy a ferrari', context: 'buy-car'});
console.log(esit);

esit = bot.answer({text: 'GTC4', context: esit.context});
console.log(esit);

esit = bot.answer({text: 'Maybe...', context: esit.context});
console.log(esit);

esit = bot.answer({text: 'yes', context: esit.context});
console.log(esit);

That will print the complete result object in this way:

{ text: 'I want to buy a ferrari',
  intent: true,
  entities: { action: [ 'buy' ], product: [ 'ferrari' ] },
  reply: 'Yes, of course! Could you tell me which model of Ferrari? (F12/GTC4/J50/California T/488 GTB)',
  context: 'car-model' }
{ text: 'GTC4',
  intent: true,
  entities: { model: [ 'GTC4' ] },
  reply: 'Oh, great! Do you confirm you want to purchase it? (yes/no)',
  context: 'car-yes-no' }
{ text: 'Maybe...',
  intent: null,
  entities: {},
  reply: 'Sorry, I do not understand...',
  context: 'car-yes-no' }
{ text: 'yes',
  intent: true,
  entities: { qresp: [ 'yes' ] },
  reply: 'Wonderful! A great purchase!',
  context: 'buy-car' }

To print only the discussion data:

// Only discussion's replies
esit = bot.answer({text: 'I want to buy a ferrari', context: 'buy-car'});
console.log('D:', esit.text);
console.log('R:', esit.reply);

esit = bot.answer({text: 'GTC4', context: esit.context});
console.log('D:', esit.text);
console.log('R:', esit.reply);

esit = bot.answer({text: 'Maybe...', context: esit.context});
console.log('D:', esit.text);
console.log('R:', esit.reply);

esit = bot.answer({text: 'no', context: esit.context});
console.log('D:', esit.text);
console.log('R:', esit.reply);

esit = bot.answer({text: 'California T', context: esit.context});
console.log('D:', esit.text);
console.log('R:', esit.reply);

esit = bot.answer({text: 'yes', context: esit.context});
console.log('D:', esit.text);
console.log('R:', esit.reply);

That will print:

D: I want to buy a ferrari
R: Yes, of course! Could you tell me which model of Ferrari? (F12/GTC4/J50/California T/488 GTB)
D: GTC4
R: Oh, great! Do you confirm you want to purchase it? (yes/no)
D: Maybe...
R: Sorry, I do not understand...
D: no
R: I'm sorry, do you want buy another model? (F12/GTC4/J50/California T/488 GTB)
D: California T
R: Oh, great! Do you confirm you want to purchase it? (yes/no)
D: yes
R: Wonderful! A great purchase!