? Are you sure you want to continue? (Y/n) Y │ Interactions │ lex282f4c21 │ Create │ awscloudformation │ │ Auth │ cognito8550b67d │ Create │ awscloudformation │ │ Category │ Resource name │ Operation │ Provider plugin │ Output: ✔ Successfully pulled backend environment dev from the cloud. The push command shows us a quick overview of all components to add. After adding this resource we will push it to AWS. We will start with the sample chatbot BookTrip. ? Please indicate if your use of this bot is subject to the Children 's Online Privacy Protection Act (COPPA). ? Choose a sample chatbot: (Use arrow keys) ? Would you like to start with a sample chatbot or start from scratch? (Use arrow keys) ? Provide a friendly resource name that will be used to label this category in the project: (lex282f4c21) lex282f4c21 We have to configure a bunch of different stuff, just follow along the output here. We start by using a pre-defined chatbot template for booking different trips.įirst, we start by adding an interaction component. Amplify has its own category for chatbot called interactions. Now we will build the actual chatbot component. After choosing it your Amplify project was created within the directory amplify.
#CHATBOT AWS HOW TO#
Here is a short explanation of how to create them. I always suggest using AWS Profiles for your different accounts. Here, you must choose your authentication method (either profile or access keys) and hit enter. ? Select the authentication method you want to use: ( Use arrow keys) ? Initialize the project with the above configuration? (Y/n) Y The following configuration will be applied: ? Enter a name for the project chatbotwithamplify You can use the default values almost everywhere. Just run amplify init within your newly created project folder and follow the CLI commands. Now, we will do the same thing for Amplify. This bootstraps the initial folder structure with TypeScript as the main language. Go into the folder where your project should reside and type in the console: npx create-react-app chatbot-with-amplify -template typescript
#CHATBOT AWS INSTALL#
If you don't have already, please install the Amplify CLI, see this guide.įirst of all, let's start with the initial project setup and folder structure. Now let's create the actual chatbot application. You can see the architecture is really simple and just consist of 4 different parts. But normally it will be used to extend the functionality of chatbots by adding more business logic to them. Lambda is the serverless function service by AWS. It is the same service that uses Amazon Alexa and is built to serve many customers. Amazon LexĪmazon Lex is the chatbot interaction service by AWS. The chatbot and lambda function is created with Amplify. The web application is hosted via Amplify which uses S3 and CloudFront in the background. Amplify JS libraries for accessing AWS components and building the chatbot interface.
#CHATBOT AWS CODE#
Amplify-CLI for bootstrapping the cloud environment and building the infrastructure as code.In this application, Amplify is used for two different use cases. We can also use already existing libraries (such as the chatbot implementation from Amplify) and we don't have to reinvent the wheel. This gives us the opportunity to host the application in a cheap way and serve it very fast to users all over the world. The web interface is a Single Page Application (SPA), built with React & TypeScript.
The architecture contains four different components: Web Interface - Chatbot Component In this post, we will create a chatbot for booking a car. The same technology is used within Alexa so it is a bulletproof stack.
The great part about using this tech-stack is, that no Data Science or NLP knowledge is required because it is purely created with managed services by AWS. This blog post gives you an introduction and step-by-step guide on how to create a chatbot application with AWS Amplify & AWS Lex.
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