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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
2. Chapter 1: Beginning with the ChatGPT API for NLP Tasks FREE CHAPTER 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

Speech Recognition and Text-to-Speech with the Whisper API

Welcome to Chapter 10 of our journey into the world of cutting-edge AI technologies. In this chapter, we embark on an exploration of the remarkable Whisper API. Harnessing the power of advanced speech recognition and translation, the Whisper API opens exciting possibilities for transforming audio into text. Imagine having the ability to transcribe conversations, interviews, podcasts, or any spoken content effortlessly. Whether you aim to extract valuable insights from multilingual audio files or create accessible content for a global audience, the Whisper API has you covered.

In this chapter, we will do a deep dive into the core functionalities of the Whisper API by developing a language transcription project using Python. We’ll get acquainted with its essential endpoints, namely transcriptions and translations, which form the backbone of its speech-to-text capabilities. With its state-of-the-art open source model...

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