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:
<img src="./img/webapp-full.gif" width=480>Or embedded into an existing site as a chatbot widget:
<img src="./img/webapp-iframe.gif" width=480>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 | <a target="_blank" href="https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/stacks/create/review?templateURL=https://s3.amazonaws.com/aws-bigdata-blog/artifacts/aws-lex-web-ui/artifacts/templates/master.yaml&stackName=lex-web-ui¶m_BootstrapBucket=aws-bigdata-blog"><span><img height="24px" src="https://s3.amazonaws.com/cloudformation-examples/cloudformation-launch-stack.png"/></span></a> | us-east-1 |
Oregon | <a target="_blank" href="https://us-west-2.console.aws.amazon.com/cloudformation/home?region=us-west-2#/stacks/create/review?templateURL=https://s3.amazonaws.com/aws-bigdata-blog-replica-us-west-2/artifacts/aws-lex-web-ui/artifacts/templates/master.yaml&stackName=lex-web-ui¶m_BootstrapBucket=aws-bigdata-blog-replica-us-west-2"><span><img height="24px" src="https://s3.amazonaws.com/cloudformation-examples/cloudformation-launch-stack.png"/></span></a> | us-west-2 |
Ireland | <a target="_blank" href="https://eu-west-1.console.aws.amazon.com/cloudformation/home?region=eu-west-1#/stacks/create/review?templateURL=https://s3.amazonaws.com/aws-bigdata-blog-replica-eu-west-1/artifacts/aws-lex-web-ui/artifacts/templates/master.yaml&stackName=lex-web-ui¶m_BootstrapBucket=aws-bigdata-blog-replica-eu-west-1"><span><img height="24px" src="https://s3.amazonaws.com/cloudformation-examples/cloudformation-launch-stack.png"/></span></a> | eu-west-1 |
Sydney | <a target="_blank" href="https://ap-southeast-2.console.aws.amazon.com/cloudformation/home?region=ap-southeast-2#/stacks/create/review?templateURL=https://s3.amazonaws.com/aws-bigdata-blog-replica-ap-southeast-2/artifacts/aws-lex-web-ui/artifacts/templates/master.yaml&stackName=lex-web-ui¶m_BootstrapBucket=aws-bigdata-blog-replica-ap-southeast-2"><span><img height="24px" src="https://s3.amazonaws.com/cloudformation-examples/cloudformation-launch-stack.png"/></span></a> | ap-southeast-2 |
Singapore | <a target="_blank" href="https://ap-southeast-1.console.aws.amazon.com/cloudformation/home?region=ap-southeast-1#/stacks/create/review?templateURL=https://s3.amazonaws.com/aws-bigdata-blog-replica-ap-southeast-1a/artifacts/aws-lex-web-ui/artifacts/templates/master.yaml&stackName=lex-web-ui¶m_BootstrapBucket=aws-bigdata-blog-replica-ap-southeast-1a"><span><img height="24px" src="https://s3.amazonaws.com/cloudformation-examples/cloudformation-launch-stack.png"/></span></a> | ap-southeast-1a |
Seoul | <a target="_blank" href="https://ap-northeast-2.console.aws.amazon.com/cloudformation/home?region=ap-northeast-2#/stacks/create/review?templateURL=https://s3.amazonaws.com/aws-bigdata-blog-replica-ap-northeast-2/artifacts/aws-lex-web-ui/artifacts/templates/master.yaml&stackName=lex-web-ui¶m_BootstrapBucket=aws-bigdata-blog-replica-ap-northeast-2"><span><img height="24px" src="https://s3.amazonaws.com/cloudformation-examples/cloudformation-launch-stack.png"/></span></a> | ap-northeast-2 |
London | <a target="_blank" href="https://eu-west-2.console.aws.amazon.com/cloudformation/home?region=eu-west-2#/stacks/create/review?templateURL=https://s3.amazonaws.com/aws-bigdata-blog-replica-eu-west-2/artifacts/aws-lex-web-ui/artifacts/templates/master.yaml&stackName=lex-web-ui¶m_BootstrapBucket=aws-bigdata-blog-replica-eu-west-2"><span><img height="24px" src="https://s3.amazonaws.com/cloudformation-examples/cloudformation-launch-stack.png"/></span></a> | eu-west-2 |
Tokyo | <a target="_blank" href="https://ap-northeast-1.console.aws.amazon.com/cloudformation/home?region=ap-northeast-1#/stacks/create/review?templateURL=https://s3.amazonaws.com/aws-bigdata-blog-replica-ap-northeast-1/artifacts/aws-lex-web-ui/artifacts/templates/master.yaml&stackName=lex-web-ui¶m_BootstrapBucket=aws-bigdata-blog-replica-ap-northeast-1"><span><img height="24px" src="https://s3.amazonaws.com/cloudformation-examples/cloudformation-launch-stack.png"/></span></a> | ap-northeast-1 |
Frankfurt | <a target="_blank" href="https://eu-central-1.console.aws.amazon.com/cloudformation/home?region=eu-central-1#/stacks/create/review?templateURL=https://s3.amazonaws.com/aws-bigdata-blog-replica-eu-central-1/artifacts/aws-lex-web-ui/artifacts/templates/master.yaml&stackName=lex-web-ui¶m_BootstrapBucket=aws-bigdata-blog-replica-eu-central-1"><span><img height="24px" src="https://s3.amazonaws.com/cloudformation-examples/cloudformation-launch-stack.png"/></span></a> | eu-central-1 |
Canada (Central) | <a target="_blank" href="https://ca-central-1.console.aws.amazon.com/cloudformation/home?region=ca-central-1#/stacks/create/review?templateURL=https://s3.amazonaws.com/aws-bigdata-blog-replica-ca-central-1/artifacts/aws-lex-web-ui/artifacts/templates/master.yaml&stackName=lex-web-ui¶m_BootstrapBucket=aws-bigdata-blog-replica-ca-central-1"><span><img height="24px" src="https://s3.amazonaws.com/cloudformation-examples/cloudformation-launch-stack.png"/></span></a> | 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 |
3 | Use npm to install and use the chatbot UI as a Vue component | Enables developers to consume this project as an npm package that provides a Vue component. See the Npm Install and Vue Component Use section for details | Use when developing front-end based web applications built using JavaScript and bundled with tools such as webpack |
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. It
is bundled from the source under the lex-web-ui
directory. This library is geared to be used as an import in a webpack
based web application but can also be instantiated directly in a web page
provided that you manually load the dependencies and explicitly pass
the configuration. See the component's README
for detailslex-web-ui-loader.js
file under the
dist directory. It is bundled from the sources under the
src/lex-web-ui-loader directory. This library
is used by adding a few script tags to an HTML page. See the loader
README for detailsThe 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:
<img src="./img/interactive-message-listpicker.png" width=400>TimePicker in Web UI:
<img src="./img/interactive-message-datepicker.png" width=350>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
AI数字人视频创作平台
Keevx 一款开箱即用的AI数字人视频创作平台,广泛适用于电商广告、企业培训与社媒宣传,让全球企业与个人创作者无需拍摄剪辑,就能快速生成多语言、高质量的专业视频。
一站式AI创作平台
提供 AI 驱动的图片、视频生成及数字人等功能,助力创意创作
AI办公助手,复杂任务高效处理
AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!
AI辅助编程,代码自动修复
Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。
AI小说写作助手,一站式润色、改写、扩写
蛙蛙写作—国内先进的AI写作平台,涵盖小说、学术、社交媒体等多场景。提供续写、改写、润色等功能,助力创作者高效优化写作流程。界面简洁,功能全面,适合各类写作者提升内容品质和工作效率。
全能AI智能助手,随时解答生活与工作的多样问题
问小白,由元石科技研发的AI智能助手,快速准确地解答各种生活和工作问题,包括但不限于搜索、规划和社交互动,帮助用户在日常生活中提高效率,轻松管理个人事务。
实时语音翻译/同声传译工具
Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。
一键生成PPT和Word,让学习生活更轻松
讯飞智文是一个利用 AI 技术的项目,能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定,还是学生群体的职业生涯规划、实习避坑指南,亦或是活动策划、旅游攻略等内容,它都能提供支持,帮助用户精 准表达,轻松呈现各种信息。
深度推理能力全新升级 ,全面对标OpenAI o1
科大讯飞的星火大模型,支持语言理解、知识问答和文本创作等多功能,适用于多种文件和业务场景,提升办公和日常生活的效率。讯飞星火是一个提供丰富智能服务的平台,涵盖科技资讯、图像创作、写作辅助、编程解答、科研文献解读等功能,能为不同需求的用户提供便捷高效的帮助,助力用户轻松获取信息、解决问题,满足多样化使用场景。
一种基于大语言模型的高效单流解耦语音令牌文本到语音合成模型
Spark-TTS 是一个基于 PyTorch 的开源文本到语音合成项目,由多个知名机构联合参与。该项目提供了高效的 LLM(大语言模型)驱动的语音合成方案,支持语音克隆和语音创建功能,可通过命令行界面(CLI)和 Web UI 两种方式使用。用户可以根据需求调整语音的性别、音高、速度等参数,生成高质量的语音。该项目适用于多种场景,如有声读物制作、智能语音助手开发等。
最新AI工具、AI资讯
独家AI资源、AI项目落地
微信扫一扫关注公众号