Sample Amazon Lex chat bot web interface
This is a sample Amazon Lex
web interface. It provides a chatbot UI component that can be integrated
in your website. The interface allows a user to interact with a Lex bot directly
from a browser using text or voice.
It can be used as a full page chatbot UI:
Or embedded into an existing site as a chatbot widget:
The easiest way to test drive the chatbot UI is to deploy it using the
AWS CloudFormation templates
provided by this project. Once you have launched the CloudFormation stack,
you will get a fully working demo site hosted in your account.
These are the currently supported regions. Click a button to launch it in the desired region.
Region | Launch | CloudFormation Template |
---|---|---|
Northern Virginia | ![]() |
us-east-1 |
Oregon | ![]() |
us-west-2 |
Ireland | ![]() |
eu-west-1 |
Sydney | ![]() |
ap-southeast-2 |
Singapore | ![]() |
ap-southeast-1a |
Seoul | ![]() |
ap-northeast-2 |
London | ![]() |
eu-west-2 |
Tokyo | ![]() |
ap-northeast-1 |
Frankfurt | ![]() |
eu-central-1 |
Canada (Central) | ![]() |
ca-central-1 |
By default, the CloudFormation template
creates a sample Lex bot and a Amazon Cognito Identity
Pool
to get you started. It copies the chatbot UI web application to an
Amazon S3 bucket including a dynamically
created configuration file. The CloudFormation stack outputs links to
the demo and related configuration once deployed. See the CloudFormation
Deployment section for details.
You can modify the configuration of the deployed demo site to customize
the chatbot UI. It can also be further configured to be embedded it on
your web site. See the sections below for code samples and a description
of the configuration and deployment options.
New regions supporting Lex only support Lex Version 2. A default install of Lex Web Ui with no target Bot specified
attempts to install a sample Lex Version 1 Bot and will fail in these new regions. In regions adding Lex support, a Lex Version 2
Bot should be deployed prior to deploying Lex Web UI.
In addition to the CloudFormation deployment mentioned above, there are
other methods to integrate and deploy this project. Here is a summary
of the various methods:
# | Method | Description | Use Case |
---|---|---|---|
1 | CloudFormation Deployment using the CloudFormation templates provided by this project | Fully automated deployment of a hosted web application to an S3 bucket with an optional CI/CD pipeline. By default, it also creates a Cognito Identity Pool and a sample Lex bot | Use when you want to have a infrastructure as code approach that automatically builds and configures the chatbot UI resources |
2 | Use the pre-built libraries from the dist directory of this repo | We provide a pre-built version of the chatbot UI component and a loader library that you can use on your web site as a stand alone page or as an embeddable iframe | Use when you have an existing site and want to add the chatbot UI to it by simply copying or referencing the library files |
See the Usage and Deployment sections below for details.
This project provides a set of JavaScript libraries used to dynamically
insert the chatbot UI in a web page. The chatbot UI is loaded and
customized by including these libraries in your code and calling their
functions with configuration parameters.
The chatbot UI can be displayed either as a full page or embedded
in an iframe. In this section, you will find a brief overview of
the libraries and configuration parameters. It is useful to get
familiar with the concepts described in the Libraries
and Configuration sections before jumping to the code
examples.
The list below describes the libraries produced by this project.
Pre-built versions of the libraries are found under the dist
directory of this repository.
lex-web-ui.js
file under the dist directory. Itlex-web-ui-loader.js
file under theThe chatbot UI component requires a configuration object
pointing to an existing Lex bot and to an Amazon Cognito Identity
Pool
to create credentials used to authenticate the Lex API calls from the
browser. The configuration object is also used to customize its behavior
and UI elements of the chatbot UI component.
The CloudFormation deployment method, from this project,
help with building a base configuration file. When deploying with it,
the base configuration is automatically pointed to the the
resources created in the deployment (i.e. Lex and Cognito).
You can override the configuration at run time by passing
parameters to the library functions or using various dynamic
configuration methods provided by the loader library (e.g. JSON
file, events). For details, see the ChatBot UI Configuration
Loading section
of the loader library documentation and the Configuration and
Customization
section of the chatbot UI component documentation.
Lex Web UI supports both ListPicker and TimePicker templateTypes and can be sent using the same JSON structure as utilized by Connect.
ListPicker display in Web UI:
TimePicker in Web UI:
The examples below are organized around the following use cases:
To render the chatbot UI as a stand-alone full page, you can use two
alternatives: 1) directly use the chatbot UI component library or 2)
use the loader library. These libraries (see Libraries)
provide pre-built JavaScript and CSS files that are ready to be included
directly into an HTML file to display a full page chatbot UI.
When you use the chatbot UI component directly, you have to manually
load the component’s dependencies and provide its configuration as a
parameter. The loader library alternative provides more configuration
options and automates the process of loading dependencies. It encapsulates
the chatbot UI component in an automated load process.
The loader library provides the easiest way to display the chatbot UI. The
entry point to this library is the lex-web-ui-loader.js
script. This
script facilitates the process of loading run-time dependencies and
configuration.
If you deploy using the CloudFormation method, you will
get an S3 bucket with the loader library script and related files in a
way that is ready to be used. Alternatively, you can copy the files from
the dist
directory of this repository to your web server and include the
loader.
In its most simple setup, you can use the loader library like this:
<!-- include the loader library script -->
<script src="./lex-web-ui-loader.js"></script>
<script>
/*
The loader library creates a global object named ChatBotUiLoader
It includes the FullPageLoader constructor
An instance of FullPageLoader has the load function which kicks off
the load process
*/
// The following statement instantiate FullPageLoader and
// calls the load function.
// It is assumed that the configuration is present in the
// default JSON file: ./lex-web-ui-loader-config.json
new ChatBotUiLoader.FullPageLoader().load();
</script>
Similar to the iFrame loading technique described later, the
FullPageComponentLoader now provides an API allowing a subset of
events to be sent to the Lex Web UI Component. These events are
ping and postText. See the full page for
description of this API.
For more details and other code examples about using the loader script
in a full page setup, see the full page
section of the loader documentation. You can also see the source of the
index.html page used in the demo site.
Directly loading the chatbot UI component works at a lower level than
using the loader library as described above. This approach can be used
if you want to manually control the rendering, configuration and
dependency loading process.
The entry point to the chatbot UI component is the lex-web-ui.js
JavaScript file. The UI CSS styles are contained in the lex-web-ui.css
file. The component depends on the Vue,
Vuex, Vuetify
and AWS SDK libraries. You
should either host these dependencies on your site or load them from a
third-party CDN.
The HTML code below is an illustration of directly loading the chatbot UI
library and its dependencies.
NOTE: The versions of the links below may need to be pointed
to the latest supported versions.
<html>
<head>
<!-- Font Dependencies -->
<link href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700|Material+Icons" rel="stylesheet" type="text/css">
<!-- Vuetify CSS Dependencies -->
<link href="https://unpkg.com/vuetify@0.16.9/dist/vuetify.min.css" rel="stylesheet" type="text/css">
<!-- LexWebUi CSS from dist directory -->
<link href="./lex-web-ui.css" rel="stylesheet" type="text/css">
<!-- page specific LexWebUi styling -->
<style type="text/css">
#lex-web-ui-app { display: flex; height: 100%; width: 100%; }
body, html { overflow-y: auto; overflow-x: hidden; }
</style>
</head>
<body>
<!-- application will be dynamically mounted here -->
<div id="lex-web-ui"></div>
<!--
Vue, Vuex, Vuetifiy and AWS SDK dependencies must be loaded before lex-web-ui.js.
Loading from third party CDN for quick testing
-->
<script src="https://unpkg.com/vue@2.5.3"></script>
<script src="https://unpkg.com/vuex@3.0.1"></script>
<script src="https://unpkg.com/vuetify@0.16.9"></script>
<script src="https://sdk.amazonaws.com/js/aws-sdk-2.149.0.min.js"></script>
<!-- LexWebUi Library from dist directory -->
<script src="./lex-web-ui.js"></script>
<!-- instantiate the web ui with a basic config -->
<script>
// LexWebUi supports numerous configuration options. Here
// is an example using just a couple of the required options.
var config = {
cognito: {
// Your Cognito Pool Id - this is required to provide AWS credentials
poolId: '<your cognito pool id>'
},
lex: {
// Lex Bot Name in your account
botName: '<your lex bot name>'
}
};
// load the LexWebUi component
var lexWebUi = new LexWebUi.Loader(config);
// instantiate Vue
new Vue({
el: '#lex-web-ui',
store: lexWebUi.store,
template: '<div id="lex-web-ui-app"><lex-web-ui></lex-web-ui></div>',
});
</script>
</body>
</html>
You can embed the chatbot UI into an existing page using an iframe.
This approach provides a self-contained widget that can interact with
the parent page hosting the iframe. The lex-web-ui-loader.js
loader
library provides the functionality to add it as an iframe in a page.
This loader script dynamically creates the iframe tag and supports
passing asynchronous configuration using events and JSON files. It also
provides an API between the iframe and the parent page which can be used
to pass Lex state and other events. These features are detailed in the
Iframe Embedding section of the library.
The HTML code below is a basic example of a parent page that adds the
chatbot UI as an iframe. In this scenario, the libraries and related
files from the dist
directory of this repo are hosted in the same
directory as the parent page. If hosting the iframe on the same domain
as your parent page is desired, you must deploy the iframe code into your
own environment to allow the use of SAMEORIGIN configurations.
Please note that the loaderOptions
variable has an iframeSrcPath
field which defines the path to the full page chatbot UI. This variable
can be pointed to a page like the one described in the stand-alone
page section.
<html>
<head>
<title>My Parent Page</title>
</head>
<body>
<h1>Welcome to my parent page</h1>
<!-- loader script -->
<script src="./lex-web-ui-loader.js"></script>
<script>
/*
The loader library creates a global object named ChatBotUiLoader
It includes the IframeLoader constructor
An instance of IframeLoader has the load function which kicks off
the load process
*/
// options for the loader constructor
var loaderOptions = {
// you can put the chatbot UI config in a JSON file
configUrl: './chatbot-ui-loader-config.json',
// the full page chatbot UI that will be iframed
iframeSrcPath: './chatbot-index.html#/?lexWebUiEmbed=true'
};
// The following statement instantiates the IframeLoader
var iframeLoader = new ChatBotUiLoader.IframeLoader(loaderOptions);
// chatbot UI config
// The loader can also obtain these values from other sources such
// as a JSON file or events. The configUrl variable in the
// loaderOptions above can be used to put these config values in a file
// instead of explicitly passing it as an argument.
var chatbotUiConfig = {
ui: {
// origin of the parent site where you are including the chatbot UI
// set to window.location.origin since hosting on same site
parentOrigin: window.location.origin,
},
iframe: {
// origin hosting the HTML file that will be embedded in the iframe
// set to window.location.origin since hosting on same site
iframeOrigin: window.location.origin,
},
cognito: {
// Your Cognito Pool Id - this is required to provide AWS credentials
poolId: '<your cognito pool id>'
},
connect: {
contactFlowId : '<your contact flow id>',
instanceId : '<your instance id>',
apiGatewayEndpoint : '<your api gateway endpoint>',
},
lex: {
// Lex Bot Name in your account
botName: '<your lex bot name>'
}
};
// Call the load function which returns a promise that is resolved
// once the component is loaded or is rejected if there is an error
iframeLoader.load(chatbotUiConfig)
.then(function () {
console.log('iframe loaded');
})
.catch(function (err) {
console.error(err);
});
</script>
</body>
</html>
For more examples showing how to include the chatbot UI as an iframe,
see the source of the parent.html page and the
Iframe Embedding documentation of the
loader library.
This repository provides a sample site that you can use as a base
for development. The site is a couple of HTML pages can be found
in the src/website directory. The pages includes the
index.html file which loads the chatbot UI
in a stand-alone page and the parent.html
which page loads the chatbot UI in an iframe.
These pages are the same ones that are deployed by the CloudFormation
deployment method in this project. It uses thelex-web-ui-loader.js
loader library to display and configure the chatbot
UI. You can run a development version of this sample site on your machine.
This project provides a simple HTTP server to serve the sample site.
You can run the server using Node.js on your local
machine or a test server. Please note that running locally is only designed
for testing purposes as the localhost only runs on HTTP and does not use
a secure HTTPs configuration.
The chatbot UI requires proper configuration values in the files located
under the src/config directory. Modify the values in thelex-web-ui-loader-config.json
file under the src/config
directory.
If you deployed the demo site using the CloudFormation templates provided
by this project, you can copy the automatically generated config files
from the S3 buckets to your development host.
As a minimum,you would need to pass an existing Cognito Pool Id
and Lex Bot name. For example, set the appropriate values in thesrc/config/lex-web-ui-loader-config.json
file:
...
cognito: {
"poolId": "us-east-1:deadbeef-fade-babe-cafe-0123456789ab"
},
lex: {
"botName": "myHelpBot"
}
...
Before you run the local development server, you need to install the
development dependencies with the command:
npm install
To start the HTTP server web on port 8000
, issue the command:
# serves http://localhost:8000/index.html
# and http://localhost:8000/parent.html
npm start
If you want to hack the libraries under the src/lex-web-ui-loader
directory, the project provides a hot reloadable webpack dev
server setup with the
following command:
# runs on port 8000
npm run dev
For a more advanced local host development and test environment, see the
Dependencies and Build Setup
documentation of the chatbot UI component.
This project provides AWS CloudFormation
templates that can be used to launch a fully configured working demo site and
related resources (e.g. Lex bot and Cognito Identity Pool).
The CloudFormation deployment is the preferred method as it allows to
automatically build, configure and deploy the application (including an
optional CI/CD pipeline) and it provides a higher degree of flexibility
when integrating with an existing environment.
The CloudFormation stack creates a web app in an S3 bucket which you
can link from your site. The S3 bucket also hosts the configuration,
JavaScript and CSS files which can be loaded by your existing web
pages. The CloudFormation deployment is documented in the
README file under the templates
directory.
If you want to modify or change LexWebUi functionality follow this
release process once you are satisfied and have tested your code modifications.
You’ll need to create an S3 bucket to hold the bootstrap artifacts. Replace “yourbootstrapbucketname” with
the name of your bucket to complete the upload.
npm install
cd lex-web-ui
npm install
cd ../build
./release.sh
export BUCKET="yourbootstrapbucketname"
./upload-bootstrap.sh
Note that “yourbootstrapbucket” (S3 bucket) must allow objects with public-read acl to be added. This approach
is described in the image below. Please be aware of the security implications of allowing public-read acl. Do not add any sensitive data into this bucket as it will be publicly readable.
Once you’ve uploaded your distribution to your own bootstrap bucket, you can launch an installation of LexWebUi
in the AWS region where this bucket is located by using the master.yaml from your bootstrap bucket. You can
also update an existing LexWebUi installation by performing a stack update replacing the current template with
the template you just uploaded to your bootstrap bucket. Note that for either a fresh installation or an update,
you need to change the BootstrapBucket parameter to be the name of your bootstrap bucket and the BootstrapPrefix
parameter to be just “artifacts”.
Two changes in version 0.19.0 are the ability to forward chat history as a transcript to an
agent when Connect Live Chat is initiated. Details on use of the transcript can be found in
Connect Live Chat Agent Readme. This version also updates the
OPTIONS method in the API to configure CORS to only allow requests from the WebAppParentOrigin.
Add feature for connect live chat. Allow client to optionally interact with an agent via Connect.
See Connect Live Chat Agent Readme for additional details.
The Lex Web Ui now supports configuration of multiple Lex V2 Bot Locale IDs
using a comma separated list in the parameter LexV2BotLocaleId. The default Locale ID
is en_US. Other supported values are de_DE, en_AU, en_GB, es_419, es_ES, es_US, fr_CA,
fr_FR, it_IT, and ja_JP. See “https://docs.aws.amazon.com/lexv2/latest/dg/lex2.0.pdf“
for the current list of supported Locale IDs.
When multiple Locale IDs are specified in LexV2BotLocaleId, the Lex Web UI toolbar menu
will allow the user to select the locale to use. The user selected locale ID is
preserved across page refreshes. The locale selection menu items will be disabled if
the user is the middle of completing an intent as the locale ID can’t be changed at this
time. The selected locale ID will be displayed in the toolbar.
Lex Web Ui is now available in the Canada (Central) region - ca-central-1
For a complete list of fixes/changes in this version see CHANGELOG.md.
Toolbar Buttons