How to Build a Customized AI Chatbot on WhatsApp with Python, Twilio, and the ChatGPT API

Here's a neutral and interesting summary of the text in one paragraph: Building a customized AI chatbot on WhatsApp with Python, Twilio, and the ChatGPT API requires setting up a backend using FastAPI and SQLAlchemy to create a PostgreSQL database. The chatbot is then integrated with Twilio's WhatsApp Messaging API, allowing customers to initiate conversations. The core of the chatbot is built using OpenAI's GPT-3.5 turbo model, which provides more focused and role-based responses compared to the Davinci model. The chatbot logic is implemented in a FastAPI application that receives incoming requests from WhatsApp users and responds with generated text from the ChatGPT API. The application also stores conversations in a PostgreSQL database for future reference. With this setup, businesses can engage with customers on a more personal level using their AI-powered chatbots.

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