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Building AI Applications with ChatGPT APIs

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

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Product type Paperback
Published in Sep 2023
Publisher
ISBN-13 9781805127567
Length 258 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Martin Yanev Martin Yanev
Author Profile Icon Martin Yanev
Martin Yanev
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Table of Contents (19) Chapters Close

Preface 1. Part 1:Getting Started with OpenAI APIs FREE CHAPTER
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

This chapter explored the capabilities of DALL-E, an advanced AI model, to generate realistic, novel images based on textual descriptions. You learned how to integrate DALL-E into your own applications using the DALL-E API. Additionally, we guided you in developing a PowerPoint Presentation Generator app using the pptx Python library and the ChatGPT API. We built the GUI using Tkinter, allowing users to generate slides with the get_slides() function, which retrieved user input and created a PowerPoint presentation.

We built the slide_generator() function, which played a key role in transforming the user input into AI-generated slides. The chapter also provided instructions for seamlessly incorporating AI-generated images and text, such as bullet points and slide headers, into the PowerPoint slides. We tested our AI Presentation Generator app, enabling you to run and evaluate your enhanced PowerPoint presentations.

In Chapter 10, titled Speech Recognition and Text-to-Speech...

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