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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
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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

Implementing Text Translation and Transcription with the Whisper API

In this section, we will explore the capabilities of the Whisper API to transcribe and translate audio files seamlessly using Python. With the advancements in speech recognition and translation technology, we now can effortlessly convert spoken language into text and bridge language barriers effectively. By following the step-by-step instructions provided, you will be equipped with the knowledge and skills necessary to integrate the Whisper API into your Python projects and unlock the potential of audio-based data.

Throughout this section, we will explore the different aspects of transcribing and translating audio files. Starting with the setup and installation requirements, we will ensure that you have the necessary tools, including Python, a code editor, a Python virtual environment, and an OpenAI API key.

To proceed with transcribing and translating audio files using the Whisper API in Python, it is recommended...

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