You're reading from Building AI Applications with OpenAI APIs Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI projects

Product type Paperback

Published in Oct 2024

Publisher Packt

ISBN-13 9781835884003

Length 252 pages

Edition 2nd Edition

Languages

Python

Concepts

GPT/LLMs

Author (1):

Martin Yanev

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Table of Contents (19) Chapters

Preface

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

2. Chapter 1: Getting Started with the ChatGPT API for NLP Tasks

3. Chapter 2: Building a ChatGPT Clone

4. Part 2: Build Web Applications with ChatGPT API

5. Chapter 3: Creating and Deploying a Code Bug-Fixing Application Using Flask

6. Chapter 4: Integrating the Code Bug-Fixing Application with a Payment Service

7. Chapter 5: Quiz Generation App with ChatGPT and Django

8. Part 3: 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 the ChatGPT and DALL-E APIs: Building an 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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Building a voice transcription application

In this section, we will explore the development of a language transcription application by integrating Tkinter, a popular Python GUI toolkit with the powerful Whisper API. This integration will allow us to create a user-friendly interface that enables the real-time transcription of spoken language. By following the step-by-step instructions and harnessing the capabilities of Tkinter and the Whisper API, you will be empowered to develop your own GUI application, opening a myriad of possibilities in speech recognition and language processing.

Whether you aspire to create a tool for transcribing interviews, generating subtitles for videos, or simply exploring the potential of speech-to-text technology, this section will equip you with the knowledge and skills to bring your ideas to life. So, let’s dive in and embark on this exciting journey of building a language transcription app with Tkinter and the Whisper API.

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