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

In this chapter of the book, you were introduced to the process of building a ChatGPT clone, which is a chatbot that utilizes OpenAI’s language model to generate human-like responses to user input. The application was built using Flask, a lightweight web framework for Python, and was customizable to allow for the use of different OpenAI models and other options such as the length of the generated text.

We also covered topics such as creating and generating the frontend HTML for the ChatGPT clone, intercepting ChatGPT API endpoints, passing user input from the frontend to the backend using AJAX, and displaying the generated text in the frontend.

In Chapter 3, you will learn how to create and deploy an AI-powered code bug fixing SaaS application using Flask and the ChatGPT language model. You will become proficient in using the ChatGPT API. You will learn how to create a web form that accepts user inputs, deploy the application to the Azure cloud platform, and integrate...