![]() ![]() ![]() Simplicity: FastAPI has a simpler and more intuitive syntax, making it easier for developers to write and maintain code.Performance: FastAPI is faster than Django due to its async support and optimized performance for small- to large-scale applications.Here are some key differences between the two: Both FastAPI and Django are popular web frameworks for building Python-based web applications. For example, in the code for the ORM - Django has its own ORM, so you’ll see that there is no need to configure SQLAlchemy or another external ORM library. ![]() This will save you time from writing many lines of code as in the case of FastAPI. The AI chatbot you’re building in this tutorial is similar to the one we built in the previous post except that today you’re going to use Django for the backend. With Pyngrok, you'll put the Django localhost on the internet through Python, making it accessible for the Twilio API to communicate with.įinally, the core of this AI chatbot will be built using OpenAI's API and one of the GPT-3.5 series models: the model that powers ChatGPT, the GPT 3.5 turbo model. Then, you'll integrate Twilio's WhatsApp Messaging API, allowing customers to initiate conversations with your WhatsApp chatbot. You'll start by setting up the backend using Django and Django ORM to create a PostgreSQL database to store your customers' data. We will dive into the step-by-step process of integrating these technologies and provide a clear understanding of how they work together to create an intelligent chatbot. In this article, we will explore how to build an AI chatbot that can communicate with investors on WhatsApp using Django, Twilio, and the ChatGPT API. Building an AI-powered chatbot can be a daunting task, but with the right tools and framework, it can be a fun and rewarding experience. ![]()
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