Building A Serverless WhatsApp Chatbot using Python, Google Cloud Functions and Twilio

Building A Serverless WhatsApp Chatbot using Python, Google Cloud Functions and Twilio

Building A Serverless WhatsApp Chatbot using Python, Google Cloud Functions and Twilio. Learn how to build a WhatsApp bot and deploy it to a serverless function on the Google Cloud Platform. You can visit cloud.google.com to create it. An active WhatsApp account. A Twilio account.

A chatbot is a software application used to automate interactions and conversations with people via messaging platforms. Common uses of chatbots include request routing, customer service, and information gathering.

Serverless architecture is a design pattern where applications are broken up into individual functions that can be invoked and scaled separately. The goal is to abstract the process of building and running applications from the complexities of developing and deploying infrastructure required to run them.

In this tutorial, I am going to show how you can build a serverless WhatsApp chatbot using  Twilio’s WhatsApp API and Python functions in Google Cloud. The chatbot will accept a country name and return information about it. The country data will be retrieved from the  REST Countries public API.

Project demo

Tutorial requirements

To follow this tutorial you need to have:

  • Python 3.7 or newer. If your operating system does not have a pre-installed Python interpreter, you can download an installation file from  python.org.
  • A Google Cloud account. You can visit  cloud.google.com to create it.
  • An active WhatsApp account.
  • A Twilio account. If you are new to Twilio  create a free account now. You can review the  features and limitations of a free Twilio account.

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