laithshadeed / node-wit

Node wrapper for Wit.AI

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Quick start

  1. You need to create an Wit instance first.

  2. Install Node.JS on your computer.

  3. Setup your project

    Create a new Node.JS app :

    $ mkdir myapp
    $ cd myapp
    $ npm init
    ...

    Install and add node-wit as a dependencies in your package.json :

    npm install --save node-wit

    Execute npm install in your current folder to fetch the dependencies

    We will send an audio file to Wit.AI

    You can use SoX to record WAV files from the command line. brew install sox on OSX and apt-get install sox on ubuntu. The following options will create a Wit-ready WAV file (press Ctrl+C to stop recording):

    sox -d -b 16 -c 1 -r 16k sample.wav

    Create a index.js file in myapp directory containing:

    var wit = require('node-wit');
    var fs = require('fs');
    var ACCESS_TOKEN = "IQ77NWUPUMNBYEUEKRTWU3VDR5YSLHTA";
    
    console.log("Sending text & audio to Wit.AI");
    
    wit.captureTextIntent(ACCESS_TOKEN, "Hello world", function (err, res) {
        console.log("Response from Wit for text input: ");
        if (err) console.log("Error: ", err);
        console.log(JSON.stringify(res, null, " "));
    });
    
    var stream = fs.createReadStream('sample.wav');
    wit.captureSpeechIntent(ACCESS_TOKEN, stream, "audio/wav", function (err, res) {
        console.log("Response from Wit for audio stream: ");
        if (err) console.log("Error: ", err);
        console.log(JSON.stringify(res, null, " "));
    });
  4. Start your app

$ node index.js
Sending text & audio to Wit.AI
Response from Wit for text input:
{
 "msg_id": "b46d4a08-1e2e-43f4-b30a-aaa7bccb88e3",
 "_text": "Hello world",
 "outcomes": [
  {
   "_text": "Hello world",
   "intent": "greetings_hi",
   "entities": {},
   "confidence": 0.929
  }
 ]
}
Response from Wit for audio stream:
{
 "msg_id": "83c14e47-13cb-4ad4-9f5e-723cd47016be",
 "_text": "what's the weather in New York",
 "outcomes": [
  {
   "_text": "what's the weather in New York",
   "intent": "weather",
   "entities": {
    "location": [
     {
      "suggested": true,
      "value": "New York"
     }
    ]
   },
   "confidence": 1
  }
 ]
}

Examples

API

captureTextIntent

The captureTextIntent function returns the meaning extracted from the text input. The function takes 4 parameters:

  • access_token: Your access token for your instance
  • text: The text input you want to extract the meaning of
  • options: [optional] A json object containing any call options such as verbose or context
  • callback(error, response): A callback function get 2 arguments:
    1. An error when applicable
    2. A JSON object containing the Wit.AI response
var wit = require('node-wit');
wit.captureTextIntent(ACCESS_TOKEN, "Hello world", function (err, res) {
    console.log("Response from Wit for text input: ");
    if (err) console.log("Error: ", err);
    console.log(JSON.stringify(res, null, " "));
});

captureSpeechIntent

The captureSpeechIntent function returns the meaning extracted from the audio input. The function takes 5 arguments:

  • access_token: Your access token for your instance
  • stream: The audio stream you want to extract the meaning of
  • content-type: The content-type of your audio stream (audio/wav, audio/mpeg3, audio/raw;encoding=unsigned-integer;bits=16;rate=8000;endian=big, ...)
  • options: [optional] A json object containing any call options such as verbose or context
  • callback(error, response): A callback function get 2 arguments:
    1. An error when applicable
    2. A JSON object containing the Wit.AI response
var wit = require('node-wit');
var fs = require('fs');
var stream = fs.createReadStream('sample.wav');
wit.captureSpeechIntent(ACCESS_TOKEN, stream, "audio/wav", function (err, res) {
    console.log("Response from Wit for audio stream: ");
    if (err) console.log("Error: ", err);
    console.log(JSON.stringify(res, null, " "));
});

captureSpeechIntentFromMic

The captureSpeechIntentFromMic function returns the meaning extracted from the audio recorded from your microphone using sox. The function takes 5 arguments:

  • access_token: Your access token for your instance
  • options: [optional] A json object containing any call options such as verbose or context
  • callback(error, response): A callback function get 2 arguments:
    1. An error when applicable
    2. A JSON object containing the Wit.AI response
var wit = require('node-wit');
// The `captureSpeechIntent` function returns the `node-record-lpcm16` object
// See https://github.com/gillesdemey/node-record-lpcm16 for more details
var recording = wit.captureSpeechIntentFromMic(ACCESS_TOKEN, function (err, res) {
    console.log("Response from Wit for microphone audio stream: ");
    if (err) console.log("Error: ", err);
    console.log(JSON.stringify(res, null, " "));
});
// The microphone audio stream will automatically attempt to stop when it encounters silence.
// You can stop the recording manually by calling `stop`
// Ex: Stop recording after five seconds
setTimeout(function () {
    recording.stop();
}, 5000);

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Node wrapper for Wit.AI

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