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

Setting Up the Code Bug Fixer Project

Creating a PyCharm project is an essential first step in any Python development process. By following a few simple steps, you can create a new PyCharm project in just a few minutes. Once you’ve set up your project, you’ll be ready to start building and testing your code:

  1. Open PyCharm: Double-click on the PyCharm icon on your desktop or search for it in your applications folder to open it.
  2. On the PyCharm welcome screen, click on Create New Project or go to File | New Project.
  3. Choose the directory where you want to save your project. You can either create a new directory or select an existing one.
  4. Select the Python interpreter: Choose the version of Python you want to use for your project.
  5. Configure project settings: Give your project the name CodeBugFixer, and choose a project location.
  6. Once you’ve configured all the settings, click Create to create your new PyCharm project.

After creating...