Book Image

Building AI Applications with ChatGPT APIs

By : Martin Yanev
4.2 (5)
Book Image

Building AI Applications with ChatGPT APIs

4.2 (5)
By: Martin Yanev

Overview of this book

Combining ChatGPT APIs with Python opens doors to building extraordinary AI applications. By leveraging these APIs, you can focus on the application logic and user experience, while ChatGPT’s robust NLP capabilities handle the intricacies of human-like text understanding and generation. This book is a guide for beginners to master the ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects. These projects offer practical experience in integrating ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt. Throughout this book, you’ll get to grips with performing NLP tasks, building a ChatGPT clone, and creating an AI-driven code bug fixing SaaS application. You’ll also cover speech recognition, text-to-speech functionalities, language translation, and generation of email replies and PowerPoint presentations. This book teaches you how to fine-tune ChatGPT and generate AI art using DALL-E APIs, and then offers insights into selling your apps by integrating ChatGPT API with Stripe. With practical examples available on GitHub, the book gradually progresses from easy to advanced topics, cultivating the expertise required to develop, deploy, and monetize your own groundbreaking applications by harnessing the full potential of ChatGPT APIs.
Table of Contents (19 chapters)
Free Chapter
1
Part 1:Getting Started with OpenAI APIs
4
Part 2: Building Web Applications with the ChatGPT API
8
Part 3: The ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development
14
Part 4:Advanced Concepts for Powering ChatGPT Apps

To get the most out of this book

Before embarking on this book, it is important for you to have a fundamental understanding of Python programming and API concepts. Additionally, familiarity with the basics of frontend and backend technologies used in application development is highly recommended. This prerequisite knowledge will enhance your comprehension and enable you to fully grasp the concepts and examples presented throughout the book.

Software/hardware covered in the book

Operating system requirements

Python

Windows, macOS, or Linux

Django

Windows, macOS, or Linux

Flask

Windows, macOS, or Linux

PyQt

Windows, macOS, or Linux

OpenAI library

Windows, macOS, or Linux

Stripe

Windows, macOS, or Linux

Azure CLI

Windows, macOS, or Linux

Rest assured, this book provides comprehensive coverage of all the necessary installations, including Python and the PyCharm IDE. You will find step-by-step instructions and detailed explanations within the book to guide you through the installation process. By following the instructions provided, you will be able to set up your Python environment and PyCharm IDE with ease, ensuring a smooth journey through the book’s content.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

I highly encourage you to actively engage with the applications being built in this book by experimenting with variable changes and observing the resulting impact on the app. This hands-on approach will provide a deeper understanding of how different variables affect the application’s behavior. Furthermore, I urge you to leverage the knowledge gained from the book to embark on your own application-building journey. By using the applications from the book as a foundation, you can apply your newfound skills and creativity to develop your own unique applications, fostering a deeper mastery of the concepts covered.