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Building AI Applications with ChatGPT APIs

You're reading from Building AI Applications with ChatGPT APIs

Product type Book

Published in Sep 2023

Publisher Packt

ISBN-13 9781805127567

Pages 258 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Martin Yanev

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

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

Technical Requirements

To get the most out of this chapter, you will need some basic tools to work with the Python code and the ChatGPT APIs. This chapter will guide you through all software installations and registrations.

You will require the following:

Python 3.7 or later installed on your computer
An OpenAI API key, which can be obtained by signing up for an OpenAI account
A code editor, such as PyCharm (recommended), to write and run Python code

The code examples from this chapter can be found on GitHub at https://github.com/PacktPublishing/Building-AI-Applications-with-ChatGPT-APIs/tree/main/Chapter01%20ChatGPTResponse.

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Authors (1)

Martin Yanev

Martin Yanev is an experienced Software Engineer who has worked in the aerospace and industries for over 8 years. He specializes in developing and integrating software solutions for air traffic control and chromatography systems. Martin is a well-respected instructor with over 280,000 students worldwide, and he is skilled in using frameworks like Flask, Django, Pytest, and TensorFlow. He is an expert in building, training, and fine-tuning AI systems with the full range of OpenAI APIs. Martin has dual master's degrees in Aerospace Systems and Software Engineering, which demonstrates his commitment to both practical and theoretical aspects of the industry.

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