The document provides an overview of chatbots, focusing on Amazon's Lex service and an example bot called 'Amazon Bookbot' for purchasing books. Amazon Lex enables the creation of conversational interfaces utilizing AI, specifically for natural language processing, and scales automatically without needing infrastructure management. The document also outlines the technologies involved, installation prerequisites, and details regarding the response format for Lex.

1. Chatbots with Serverless
Srushith R
@SrushithR
srushith@codeops.tech

2. Agenda
• What are chatbots and why?
• Demo
• Example chatbot: Amazon BookBot
• AWS Lambda
• AWS Lex
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4. What are Chatbots and why?
• Chat bots are
computer programs
that mimic
conversation with
people using artificial
intelligence
• They are applications
minus user interface
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Image source: http://www.practicalecommerce.com/What-Are-Chatbots-
and-How-Do-They-Work

6. AWS Lex
Image source: https://aws.amazon.com/lex/
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7. AWS Lex
• Amazon Lex is a service for building
conversational interfaces into any application
using voice and text
• Powered by the same technology as Alexa,
Amazon Lex provides you with the tools to tackle
challenging deep learning problems, such as
speech recognition and language understanding,
through an easy-to-use fully managed service
• Amazon Lex scales automatically, so you don’t
need to worry about managing infrastructure
Text source: https://aws.amazon.com/lambda/details/
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8. Lex terminology
Image source: https://aws.amazon.com/lex/details/ 9

9. What is Amazon Bookbot all about?
• This is a bot for buying books – ‘Amazon
BookBot’
• You can interact with this bot to find out
relevant technical books on the given topic
available in Amazon
• For each book, you can find out book details
(author, price, reviews, availability, etc.)
• This bot can be integrated with
FaceBook/Slack
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10. Technologies
• Amazon Web Services
– AWS Lex – for Natural Language Processing (NLP)
– AWS Lambda – for the back-end serverless
function(s)
• Python 2.7 – for the serverless function code
– python-amazon-simple-product-api 2.2.11 - A
Python wrapper for the Amazon.com Product
Advertising API (for getting book information from
Amazon)
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11. Installation (for hands-on)
• AWS account
– Preferably AWS CLI installed
• Python 2.7 installed
• Python module installed: python-amazon-
simple-product-api 2.2.11
Note: The Python module and the source code
must be available in the same folder (for
uploading into AWS Lambda)
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14. Oops!

15. Why me?

16. But why?
This is the reason:
Lex Lambda

17. Lambda response format for Lex
• sessionAttributes: This field is optional
• dialogAction : The dialogAction field directs Amazon Lex to
the next course of action, and describes what to expect from
the user after Amazon Lex returns a response to the client.
The type field indicates the next course of action
– Close — Informs Amazon Lex not to expect a response
from the user
– ConfirmIntent — Informs Amazon Lex that the user is
expected to give a yes or no answer to confirm or deny the
current intent.
– Delegate — Directs Amazon Lex to choose the next course
of action based on the bot configuration.

19. Useful resources
• https://aws.amazon.com/lambda/details/
• https://aws.amazon.com/lex/details/
• https://aws.amazon.com/documentation/lex/
• https://aws.amazon.com/documentation/lam
bda/
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