As businesses strive to improve customer experience and streamline operations, more and more are turning to AI voice assistants and other AI chatbots. WhatsApp is one such popular platform, with a massive 2.2 billion monthly active users. This article will provide a thorough guide to building an AI voice assistant on WhatsApp with Python, Whisper API, ChatGPT API, and Twilio Programmable Messaging API.
Before getting started, you will need to set up the development environment. This should include creating a new virtual environment, installing the necessary libraries, and setting up a PostgreSQL database to store customer information. Once the development environment is set up, Pyngrok is used to put the backend on the internet, linking it with the Twilio Messaging API.
The core of this AI chatbot will be built using the Whisper API and ChatGPT API, allowing it to recognize user voice notes and generate intelligent responses.
For those looking to follow this tutorial, it is important to keep in mind the prerequisites and the importance of maintaining the original paragraph structure and length of the article. Additionally, providing a step-by-step guide addressing the topic, including any “steps” in the title, is essential for users to follow along effectively. Finally, ensure the content is high-quality and provides value to users and candidates for ranking well in Google search results.
