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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

Table of Contents (19) Chapters

Preface

Part 1:Getting Started with OpenAI APIs

Chapter 1: Beginning with the ChatGPT API for NLP Tasks

Chapter 2: Building a ChatGPT Clone

Part 2: Building Web Applications with the ChatGPT API

Chapter 3: Creating and Deploying an AI Code Bug Fixing SaaS Application Using Flask

Chapter 4: Integrating the Code Bug Fixer Application with a Payment Service

Chapter 5: Quiz Generation App with ChatGPT and Django

Part 3: The ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development

Chapter 6: Language Translation Desktop App with the ChatGPT API and Microsoft Word

Chapter 7: Building an Outlook Email Reply Generator

Chapter 8: Essay Generation Tool with PyQt and the ChatGPT API

Chapter 9: Integrating ChatGPT and DALL-E API: Build End-to-End PowerPoint Presentation Generator

Chapter 10: Speech Recognition and Text-to-Speech with the Whisper API

Part 4:Advanced Concepts for Powering ChatGPT Apps

Chapter 11: Choosing the Right ChatGPT API Model

Chapter 12: Fine-Tuning ChatGPT to Create Unique API Models

Index

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Technical Requirements

You will need to cover some basic software installations before continuing with this chapter. In addition, the installation of the Django web framework will be demonstrated in the next section.

The project entails the following technical prerequisites:

Python version 3.7 or higher installed on your local machine
A code editor, with PyCharm recommended for an optimal experience
An OpenAI API key to access the necessary API functionalities

You can access the code examples used in this chapter on GitHub at the provided repository: https://github.com/PacktPublishing/Building-AI-Applications-with-ChatGPT-APIs/tree/main/Chapter05%20QuizApp/quiz_project

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Authors (1)

Martin Yanev

Martin Yanev is an experienced Software Engineer who has worked in the aerospace and industries for over 8 years. He specializes in developing and integrating software solutions for air traffic control and chromatography systems. Martin is a well-respected instructor with over 280,000 students worldwide, and he is skilled in using frameworks like Flask, Django, Pytest, and TensorFlow. He is an expert in building, training, and fine-tuning AI systems with the full range of OpenAI APIs. Martin has dual master's degrees in Aerospace Systems and Software Engineering, which demonstrates his commitment to both practical and theoretical aspects of the industry.

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