You're reading from Building AI Applications with OpenAI APIs Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI projects

Product type Paperback

Published in Oct 2024

Publisher Packt

ISBN-13 9781835884003

Length 252 pages

Edition 2nd Edition

Languages

Python

Concepts

GPT/LLMs

Author (1):

Martin Yanev

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Table of Contents (19) Chapters

Preface

1. Part 1:Getting Started with OpenAI APIs FREE CHAPTER

2. Chapter 1: Getting Started with the ChatGPT API for NLP Tasks

3. Chapter 2: Building a ChatGPT Clone

4. Part 2: Build Web Applications with ChatGPT API

5. Chapter 3: Creating and Deploying a Code Bug-Fixing Application Using Flask

6. Chapter 4: Integrating the Code Bug-Fixing Application with a Payment Service

7. Chapter 5: Quiz Generation App with ChatGPT and Django

8. Part 3: ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development

9. Chapter 6: Language Translation Desktop App with the ChatGPT API and Microsoft Word

10. Chapter 7: Building an Outlook Email Reply Generator

11. Chapter 8: Essay Generation Tool with PyQt and the ChatGPT API

12. Chapter 9: Integrating the ChatGPT and DALL-E APIs: Building an End-to-End PowerPoint Presentation Generator

13. Chapter 10: Speech Recognition and Text-to-Speech with the Whisper API

14. Part 4: Advanced Concepts for Powering ChatGPT Apps

15. Chapter 11: Choosing the Right ChatGPT API Model

16. Chapter 12: Fine-Tuning ChatGPT to Create Unique API Models

17. Index

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Technical requirements

To fully benefit from this chapter, you will require some fundamental tools. In-depth explanations of all installations not covered in the preceding chapter will be provided.

You will require the following:

Python 3.7 or later installed on your computer
An OpenAI API key, obtained from your OpenAI account
A code editor, such as VSCode (recommended)
The Flask framework installed in your Python virtual environment

The code examples from this chapter can be found on GitHub at https://github.com/PacktPublishing/Building-AI-Applications-with-ChatGPT-API.

In the next section, we will start building the ChatGPT clone with Flask by setting up a backend that communicates with the ChatGPT API to generate responses to user input. You will create a simple Flask application and gradually enhance it by incorporating the ChatGPT API. We will also structure the code and store the ChatGPT API key as an environment variable to improve its security...