Create a Powerful WhatsApp Chatbot with Python and Twilio

In this tutorial, we will explore how to create a WhatsApp chatbot using Chat GPT, an advanced language model developed by OpenAI. With this chatbot, users can have live conversations with the bot through their WhatsApp number.

To get started, you will need to set up accounts on multiple platforms, including AWS, Twilio, and OpenAI. This requires technical knowledge to set up and configure each platform.

Setting Up Accounts

Firstly, create a developer account on OpenAI to access the Chat GPT API. Next, sign up for an AWS account and launch an EC2 instance with HTTP and HTTPS traffic enabled. You will also need to create or select an existing key pair for SSH access.

After setting up your accounts, navigate to Twilio's console and register your WhatsApp number under Messaging. Make sure to note down the necessary API keys and credentials as they will be required later in the process.

Creating the Flask Script

Now it's time to create a Flask script that will serve as the API for our chatbot. Install the necessary libraries, including Flask, OpenAI, and Twilio.

The script should include the following components:

* Configuration of instance details

* Enable HTTP and HTTPS traffic

* Creation or selection of an existing key pair for SSH access

* Launching an EC2 instance with a specific instance type (e.g., T2 Micro)

* Running the Flask app on a specific host and port

* Sending the response back to the user via WhatsApp

Generating Chatbot Responses

To generate chatbot responses, we will use the Chat GPT API. Create a function that retrieves the question from the request body and generates an answer using the chatbot function.

Setting Up Endpoints

Set up endpoints for incoming questions by creating functions to handle requests and respond accordingly. For example, you can create a function that takes user input as a parameter and returns a response based on the input.

Testing the Chatbot

Once your script is set up, test it by sending a WhatsApp message to the provided number with the code 'join Continue'. This will register your mobile number as a WhatsApp sandbox. You can then interact with your chatbot through WhatsApp.

By following these steps and creating a Flask script that integrates with OpenAI's Chat GPT API and Twilio's messaging platform, you can create a powerful WhatsApp chatbot that allows users to have live conversations with your bot.

With this tutorial, you will learn how to deploy your own WhatsApp chatbot using Python and Twilio. By the end of this process, you will be able to use your chatbot to interact with your friends and customers through WhatsApp.

Whatsapp chatbot python