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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
Toc

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 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

Download the example code files

You can download the example code files for this book from GitHub at https://github.com/PacktPublishing/Building-AI-Applications-with-ChatGPT-APIs. If there’s an update to the code, it will be updated in the GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames and user input. Here is an example: “Create a new file called app.py.”

A block of code is set as follows:

response = openai.Completion.create(
    engine="text-davinci-003",
    prompt=question,
    max_tokens=1024,
    n=1,
    stop=None,
    temperature=0.8,
)

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

answer = response["choices"][0]["text"]
print(answer)

Any command-line input or output is written as follows:

$ pip install openai
"What would you like to ask ChatGPT?

Bold: Indicates a new term, an important word, or words that you see on screen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “Select the Terminal button from the View menu.”

Tips or important notes

Appear like this.

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