Book Image

OpenAI API Cookbook

By : Henry Habib
Book Image

OpenAI API Cookbook

By: Henry Habib

Overview of this book

As artificial intelligence continues to reshape industries with OpenAI at the forefront of AI research, knowing how to create innovative applications such as chatbots, virtual assistants, content generators, and productivity enhancers is a game-changer. This book takes a practical, recipe-based approach to unlocking the power of OpenAI API to build high-performance intelligent applications in diverse industries and seamlessly integrate ChatGPT in your workflows to increase productivity. You’ll begin with the OpenAI API fundamentals, covering setup, authentication, and key parameters, and quickly progress to the different elements of the OpenAI API. Once you’ve learned how to use it effectively and tweak parameters for better results, you’ll follow advanced recipes for enhancing user experience and refining outputs. The book guides your transition from development to live application deployment, setting up the API for public use and application backend. Further, you’ll discover step-by-step recipes for building knowledge-based assistants and multi-model applications tailored to your specific needs. By the end of this book, you’ll have worked through recipes involving various OpenAI API endpoints and built a variety of intelligent applications, ready to apply this experience to building AI-powered solutions of your own.
Table of Contents (10 chapters)

Technical requirements

All the recipes in this chapter require you to have access to the OpenAI API (via a generated API key) and have an API client installed. In case you don’t recall how to do this, you can refer to the Chapter 1 recipe Making OpenAI API requests with Postman.

In previous chapters, we have used Postman as our API client. In this case, we will use the programmatic language Python instead. Specifically, the recipes will use the OpenAI Python library to make calls to the OpenAI API.

We will run Python in a service called Google Colab. Colab is an online hosted Jupyter Notebook service by Google, that requires no setup to use and can run Python code within the browser. The Jupyter Notebook is an open sourced web application that allows you to create and share documents and contains live code that can be run step by step. This is the environment we will use to run our Python code.

To use Google Colab, you need to create and be signed in to a valid Google...