How to Use OpenAI’s GPT-4.0 in FlutterFlow – Part 1

In this video series, the host demonstrates how to integrate OpenAI’s newest model, GPT-4.0 Omni, into FlutterFlow. The first video covers three essential steps: importing OpenAI’s API library, configuring API calls, and modeling the data returned from OpenAI to ensure it’s type-safe and easy to work with. The process begins with importing the API library using FlutterFlow’s support for Swagger or OpenAPI specs. The host then guides viewers through obtaining an API key from OpenAI and configuring the API calls, including setting authorization headers and cleaning up unnecessary properties. The video also explains how to structure the messages array for dynamic data input. Finally, the host shows how to model the data response by creating custom data types in FlutterFlow, ensuring the response is easy to use in the application. The next video in the series will focus on structuring the backend, designing the UI, and implementing the logic.