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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

Table of Contents (19) Chapters

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

Creating a ChatGPT Clone with Flask

To create a ChatGPT clone with Flask, you will need to set up a backend that communicates with the ChatGPT API to generate responses to user input. Flask is a popular Python web framework that can be used to create web applications, including ChatGPT clones. We will begin our project by creating a simple Flask application and gradually enhance it by incorporating the ChatGPT API, additional web pages, and the frontend.

To get started, initiate a new PyCharm project and give it the name ChatGPT_Clone. Create a new file named app.py to serve as the backend of your application, where you’ll define your Flask application and interact with the ChatGPT API. Once you have created the project, you will need to install the Flask package using pip. You can do this by running the following command in your project’s terminal:

$ pip install flask

After installing Flask, you can start building your Flask application. To do this, you need...

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