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

GPT/LLMs

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

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Creating Essay Generation Methods with the ChatGPT API

In this section, we will dive into the implementation of the key functions within the essay generator application. These functions are responsible for generating the essay based on user input and saving the generated essay to a file. By understanding the code, you will be able to grasp the inner workings of the application and gain insight into how the essay generation and saving processes are accomplished.

We will begin by exploring the generate_essay() function. This function will retrieve the topic entered by the user from the input field. It will then set the engine type for the OpenAI API, create a prompt using the topic, and make a request to the OpenAI API for essay generation. The response received from the API will contain the generated essay, which will be extracted and displayed in the essay output area of the application. To add that functionality, simply remove the pass placeholder and follow this code: