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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 Martin Yanev
Profile icon 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 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...

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