You're reading from Building AI Applications with ChatGPT APIs Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects

Product type Paperback

Published in Sep 2023

Publisher

ISBN-13 9781805127567

Length 258 pages

Edition 1st Edition

Tools

ChatGPT

Concepts

GPT/LLMs

Author (1):

Martin Yanev

View More author details

Table of Contents (19) Chapters

Preface

1. Part 1:Getting Started with OpenAI APIs

2. Chapter 1: Beginning with the ChatGPT API for NLP Tasks FREE CHAPTER

3. Chapter 2: Building a ChatGPT Clone

4. Part 2: Building Web Applications with the ChatGPT API

5. Chapter 3: Creating and Deploying an AI Code Bug Fixing SaaS Application Using Flask

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

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

8. Part 3: The 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 ChatGPT and DALL-E API: Build 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

Why subscribe?

18. Other Books You May Enjoy

Summary

This chapter described the creation and deployment of an AI-powered SaaS application, Code Bug Fixer, which uses OpenAI’s GPT-3 language model to provide code error explanations and fixes to users. It covered building the application using Flask, creating a web form that accepts user input for code and error messages, and designing a web interface for displaying the generated explanations and solutions. The chapter also provided instructions on how to test and deploy the application to the Azure cloud platform, offering security and scalability features to the application.

Furthermore, you learned how to create a user interface for Code Bug Fixer using HTML and CSS, adding a basic HTML structure, a header, an input form, and two columns containing text areas for the user to enter their code and error message. The testing process involved running test cases for the application in two different programming languages, Python and Java. By following the given steps, users...