Create WhatsApp Chat-bot with OpenAI and Twilio

Table of Contents

1. Introduction
2. Connecting WhatsApp with Open AI
3. Getting Started with Open AI
4. Setting Up Twilio Account
5. Creating a Twilio Project
6. Activating Communication on WhatsApp
7. Preparing the Environment
8. Installing Required Packages
9. Overview of the Code
10. Starting the Application
11. Configuring Twilio Sandbox
12. Testing the Application
13. Conclusion

Introduction

In this article, we will discuss how to connect your WhatsApp number with Open AI and Create a chatbot that can answer user queries. We will cover step-by-step instructions on setting up the necessary accounts and environment, installing the required packages, understanding the code, starting the application, and configuring the Twilio Sandbox for testing purposes.

Connecting WhatsApp with Open AI

To begin, we need to connect our Twilio WhatsApp number with Open AI to enable communication and query responses. This process requires the use of API keys from both Open AI and Twilio. We will guide You through the necessary steps to obtain these keys and set up your accounts.

Getting Started with Open AI

Before you can connect WhatsApp with Open AI, you need to create an account and obtain an API key from Open AI. We will walk you through the process of creating an account and accessing the API key, ensuring the security of your sensitive information.

Setting Up Twilio Account

In order to connect your WhatsApp number with Open AI, you will also need a Twilio account. We will guide you through the process of creating a new Twilio account and accessing the required credentials, including the account SID and auth token.

Creating a Twilio Project

Once you have set up your Twilio account, you need to create a project for your WhatsApp integration. We will Show you how to navigate to the project section in Twilio, obtain the project ID and auth token, and configure the necessary messaging settings.

Activating Communication on WhatsApp

To start communicating with Twilio's WhatsApp Sandbox, you need to send a verification code from your WhatsApp account. We will guide you through the process of saving the Twilio WhatsApp number, sending the verification code, and activating communication.

Preparing the Environment

Before diving into the code, you need to make sure you have all the required tools and packages installed. We will show you how to set up an API testing application like Postman or Insomnia, as well as use Ngrok to expose your local environment to the internet.

Installing Required Packages

Once your environment is ready, you can proceed with installing the necessary packages for the project. We will guide you through installing the packages using the provided requirements.txt file.

Overview of the Code

Before running the application, it's essential to understand the structure of the code. We will provide an overview of the main files and functions, highlighting the Flask application, routes, and Helper functions responsible for handling user queries and sending messages.

Starting the Application

With the environment set up and the code understood, you can start the application and test it locally. We will walk you through the process of starting the application using python run.py or gunicorn, depending on your needs.

Configuring Twilio Sandbox

To test the functionality of the application, you need to configure the Twilio Sandbox with your application's URL. We will guide you through the process of accessing the WhatsApp Sandbox settings and pasting the URL in the appropriate field.

Testing the Application

Once the Twilio Sandbox is configured, you can start testing the application by sending WhatsApp messages. We will demonstrate how Twilio forwards incoming messages to the Flask application, processes them using Open AI, and sends the appropriate response back to the user.

Conclusion

In conclusion, connecting WhatsApp with Open AI and creating a chatbot can greatly enhance user experience and efficiency. By following the steps outlined in this article, you can successfully set up and deploy a WhatsApp chatbot that can respond to user queries in an accurate and Timely manner.

Highlights

• Learn how to connect WhatsApp with Open AI
• Set up Twilio account and project
• Activate communication on WhatsApp
• Install necessary packages and understand the code structure
• Start the application and configure Twilio Sandbox
• Test the application by sending WhatsApp messages

FAQ

Q: Can I use any API testing application? A: Yes, you can use any API testing application like Postman or Insomnia to check the local working of your application.

Q: Do I need to upgrade my pip version? A: While it is not necessary, upgrading your pip version is recommended for better compatibility and performance.

Q: Can I start the application in demon mode? A: Yes, you can start the application in demon mode using gunicorn and specifying the app to run.

Q: Is it necessary to create a virtual environment? A: Yes, creating a virtual environment helps isolate the dependencies of the project and ensures a clean and organized environment.

Q: Can I use a different port for NGROK? A: Yes, you can use a different port for NGROK as long as it matches the port specified in your local server.

Q: How can I contribute to the project? A: If you find this project helpful, consider giving it a star on GitHub and subscribing to the YouTube channel for more content. Contributions are always welcome!