rivescript-brain

Overview

rivescript-brain combines the power of AIML-based RiveScript with Brain.js to add neural-network based intent detection ability - prevalent in modern chatbot design - to the former.

The following documentation assumes basic knowledge of RiveScript and the concept of classification.

ℹ Facing issues or have feedback? Click here.

Installation

javascript

npm i rivescript-brain



📢 Facing difficulties while installing the package? This is likely due to the

brain.js

 dependency.



If you are on Windows, this can be resolved by installing

windows-build-tools

 from npm with administrative privligies:

npm install --global --production windows-build-tools





If you are using another operating system or don't have admin privligies on Windows, please refer to this guide.



Usage

rivescript-brain

 offers all the same functionality as rivescript with added intent detection and middleware functionality.



📚 Language(s) Supported: English.



$3

javascript

const rs = require('rivescript-brain');



const bot = new rs({utf8:true});



bot.loadDirectory("./dir/").then(async() => {

    bot.sortReplies();

    // Classifier Setup

    bot.classifier.add('Hello, how are you?', 'casual'); // i.e. ([sample utterance], [intent])

    bot.classifier.train();

    // Getting Reply

    console.log(await bot.reply('username','Hello'));



}).catch((e) => {

    console.trace("Could not load Rive files.", e);

});



$3



In

rivescript-brain

, a feed-forward neural network is used to classify phrases.



#### Expected Structure of Rive Files

For the classifier to work as intended, it is expected that all conversations in the RiveScript files, are sorted by topic. These topics must be the same as the intents used to train the classifier. To learn more about topics in RiveScript, please click here.




#### Saving Image

To save a JSON image of a trained classifier:

javascript

// Assuming 'bot' is already trained

await bot.classifier.save('./myFilePath/image.json');



#### Restoring Image

To restore trained classifier from a saved JSON image:

javascript

await bot.classifier.restore('./myFilePath/image.json');



#### Training & Retraining

To train a classifier, data must be added first. Note that when retraining, previously added data is retained and does not need to be added again.

javascript

bot.classifier.add('Hello, how do you do?', 'casual');





Classifier training can be initiated as follows:

javascript

bot.classifier.train();





#### Classifying

javascript

let result = bot.classifier.classify('Hello, how do you do?');



$3

To prevent rivescript-brain's classifier from interfering in short discussions, it is important that there start and end points are marked as folows:



+ Hello

- Hi, how are you? 



+ *

% Hi, how are you?

- May I know your name please?



+ *

% May I know your name please?

- Thanks! How can I help you today? >



$3

rivescript-brain modifies the stock rivescript reply function to incoperate classifcation and middleware functionality. There is no need to classify and set the convsersation topic seperately. 


Simply use:

javascript

await bot.reply('username','Hello');





$3

Middleware allows for triggering a script based on the response recevied from the rivescript dialog engine. This is suitable for applications such as entity detection.



#### Writing Middleware

Adding a middleware function is simple:

javascript

bot.middleware.myFunction = (input, output) => {

    return new Promise((resolve) => {



        //Do Something...



        resolve(output);

    })

}



Here,

input refers to the phrase entered by the user and output

 refers to the output generated by the RiveScript engine.

All middleware functions must accept

input and output as arguments and return a promise that ultimalely resolves to output

.

The output returned by the middleware is what the

reply(input)

 function will return.



#### Calling Middleware

Calling middleware from a RiveScript file is very simple. Simply set the

event

 variable to the name of the middleware function that you'd like to call:



+ tell me a fact

- Here you go:

rivescript-brain

Overview

Installation

javascript

npm i rivescript-brain



📢 Facing difficulties while installing the package? This is likely due to the

brain.js

 dependency.



If you are on Windows, this can be resolved by installing

windows-build-tools

 from npm with administrative privligies:

npm install --global --production windows-build-tools





If you are using another operating system or don't have admin privligies on Windows, please refer to this guide.



Usage

rivescript-brain

 offers all the same functionality as rivescript with added intent detection and middleware functionality.



📚 Language(s) Supported: English.



$3

javascript

const rs = require('rivescript-brain');



const bot = new rs({utf8:true});



bot.loadDirectory("./dir/").then(async() => {

    bot.sortReplies();

    // Classifier Setup

    bot.classifier.add('Hello, how are you?', 'casual'); // i.e. ([sample utterance], [intent])

    bot.classifier.train();

    // Getting Reply

    console.log(await bot.reply('username','Hello'));



}).catch((e) => {

    console.trace("Could not load Rive files.", e);

});



$3



In

rivescript-brain

, a feed-forward neural network is used to classify phrases.



#### Expected Structure of Rive Files

For the classifier to work as intended, it is expected that all conversations in the RiveScript files, are sorted by topic. These topics must be the same as the intents used to train the classifier. To learn more about topics in RiveScript, please click here.




#### Saving Image

To save a JSON image of a trained classifier:

javascript

// Assuming 'bot' is already trained

await bot.classifier.save('./myFilePath/image.json');



#### Restoring Image

To restore trained classifier from a saved JSON image:

javascript

await bot.classifier.restore('./myFilePath/image.json');



#### Training & Retraining

To train a classifier, data must be added first. Note that when retraining, previously added data is retained and does not need to be added again.

javascript

bot.classifier.add('Hello, how do you do?', 'casual');





Classifier training can be initiated as follows:

javascript

bot.classifier.train();





#### Classifying

javascript

let result = bot.classifier.classify('Hello, how do you do?');



$3

To prevent rivescript-brain's classifier from interfering in short discussions, it is important that there start and end points are marked as folows:



+ Hello

- Hi, how are you? 



+ *

% Hi, how are you?

- May I know your name please?



+ *

% May I know your name please?

- Thanks! How can I help you today? >



$3

rivescript-brain modifies the stock rivescript reply function to incoperate classifcation and middleware functionality. There is no need to classify and set the convsersation topic seperately. 


Simply use:

javascript

await bot.reply('username','Hello');





$3

Middleware allows for triggering a script based on the response recevied from the rivescript dialog engine. This is suitable for applications such as entity detection.



#### Writing Middleware

Adding a middleware function is simple:

javascript

bot.middleware.myFunction = (input, output) => {

    return new Promise((resolve) => {



        //Do Something...



        resolve(output);

    })

}



Here,

input refers to the phrase entered by the user and output

 refers to the output generated by the RiveScript engine.

All middleware functions must accept

input and output as arguments and return a promise that ultimalely resolves to output

.

The output returned by the middleware is what the

reply(input)

 function will return.



#### Calling Middleware

Calling middleware from a RiveScript file is very simple. Simply set the

event

 variable to the name of the middleware function that you'd like to call:



+ tell me a fact

- Here you go: