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

Building a Desktop Application with PyQT

In this section, you will gain hands-on experience in creating various components of the PyQt application’s user interface, such as windows, labels, buttons, text fields, and drop-down menus. Here, you will set up the PyCharm project, install the PyQt6 and docx libraries, and build your desktop application frontend.

First, let’s discuss what the PyQt library is, and how it differs from the rest of the Python application development tools, such as Tkinter (see Table 8.1). PyQt is a powerful Python framework widely used for creating desktop applications with rich graphical user interfaces (GUIs). It provides developers with a comprehensive set of tools, classes, and functionalities to design and build intuitive and visually appealing applications. PyQt is a wrapper around the popular Qt framework, offering seamless integration of Qt’s extensive libraries and widgets into Python.

Important Note

PyQt is available under...