In this video series, I'll show you how to use OpenAI's newest model, GPT-4.0 Omni, in FlutterFlow. In this first video, we'll cover three essential steps:
1. Importing OpenAI's API library.
2. Configuring our API calls.
3. Modeling the data returned from OpenAI to ensure it's type-safe and easy to work with.
We'll start by importing the API library from OpenAI, which is straightforward thanks to FlutterFlow's support for Swagger or OpenAPI specs. Then, we'll move on to setting up our API key and configuring the necessary calls.
By the end of this video, you'll be ready to make successful API calls and handle the responses efficiently. Stay tuned for the next part, where we'll further enhance our application by structuring the backend and designing a user-friendly interface.
If you have any questions, feel free to ask in the comments below. Let's jump into FlutterFlow and get started!
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FlutterFlow is a low-code builder for native apps, bringing design and development into one tool. With drag-and-drop functionality, you can build pixel-perfect UIs and easily connect your app to live data via Firebase or APIs. Plus, you can add advanced features like push notifications, payments, animations, and more. Whether you build your own custom widgets or write custom code, FlutterFlow makes it easy to bring your app ideas to life.
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