Building AI Applications with ChatGPT APIs: Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects

Building AI Applications with ChatGPT APIs: Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects

Building AI Applications with ChatGPT APIs: Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects
Автор: Yanev Martin
Дата выхода: 2023
Издательство: Packt Publishing Limited
Количество страниц: 240
Размер файла: 2.7 MB
Тип файла: PDF
Добавил: codelibs
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Building AI Applications with ChatGPT APIs....2

Contributors....5

About the Author....5

About the Reviewers....5

Preface....15

Who this book is for....16

What this book covers....17

To get the most out of this book....18

Download the example code files....19

Get in touch....20

Share Your Thoughts....20

Download a free PDF copy of this book....21

Part 1:Getting Started with OpenAI APIs....22

Chapter 1: Beginning with the ChatGPT API for NLP Tasks....23

Technical Requirements....23

The ChatGPT Revolution....24

Using ChatGPT from the Web....25

Creating an OpenAI Account....25

ChatGPT Web Interface....27

Getting Started with the ChatGPT API....30

Obtaining an API Key....30

API Tokens and Pricing....32

Setting Up Your Python Development Environment....34

Installing Python and the PyCharm IDE....35

Setting Up a Python Virtual Environment....35

The pip Package Installer....37

Building a Python Virtual Environment from the Terminal....38

A Simple ChatGPT API Response....38

Summary....42

Chapter 2: Building a ChatGPT Clone....44

Technical Requirements....45

Creating a ChatGPT Clone with Flask....45

Frontend HTML Generation....49

Enhancing the ChatGPT Clone Design....52

Intercepting ChatGPT API Endpoints....53

Summary....55

Part 2: Building Web Applications with the ChatGPT API....57

Chapter 3: Creating and Deploying an AI Code Bug Fixing SaaS Application Using Flask....58

Technical Requirements....58

Performing Multiple ChatGPT API Requests....59

Setting Up the Code Bug Fixer Project....60

Implementing the Code Bug Fixer Backend....62

Using Text Areas and Containers....64

Testing the Code Bug Fixer App....68

Deploying the ChatGPT App to the Azure Cloud....71

Summary....75

Chapter 4: Integrating the Code Bug Fixer Application with a Payment Service....77

Technical Requirements....77

Integrating Payments with Stripe....78

Setting Up a SQL User Database....80

Initializing a SQL Database....81

Getting a Browser Fingerprint ID....83

Tracking Application Users....84

Implementing the Usage Counters....86

Adding Payments to a ChatGPT Application....89

Building the Payments Page....89

Confirming User Payments....94

Summary....97

Chapter 5: Quiz Generation App with ChatGPT and Django....99

Technical Requirements....100

Building a Django Project....100

Creating the Exam App Frame and Views....104

Connecting Django Views and URLs....104

Developing Django Templates....107

Running Your Django Application....111

Integrating ChatGPT and Django for Quiz Generation....113

Building the Quiz Generation Text Area and Submit Button....113

Creating ChatGPT API Views with Django....115

Storing and Downloading Generated Quizzes....119

Saving the Quizzes in an SQLite Database....120

Building the Download Quiz View....122

Designing the Download Template....124

Summary....127

Part 3: The ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development....129

Chapter 6: Language Translation Desktop App with the ChatGPT API and Microsoft Word....130

Technical Requirements....130

Integrating ChatGPT API with Microsoft Office....131

Building a User Interface with Tkinter....133

Integrating Microsoft Word Text with the ChatGPT API....138

Translating a Word Text with ChatGPT 3.5 Turbo....138

Summary....143

Chapter 7: Building an Outlook Email Reply Generator....145

Technical Requirements....146

Passing Outlook Data to the ChatGPT API....146

Setting Up the Outlook Email....147

Accessing Email Data with the win32com Client....149

Generating automatic email replies....153

Summary....159

Chapter 8: Essay Generation Tool with PyQt and the ChatGPT API....160

Technical Requirements....161

Building a Desktop Application with PyQT....161

Setting Up the Essay Generation Tool Project....162

Building the Application GUI with PyQt....163

Creating Essay Generation Methods with the ChatGPT API....168

Controlling the ChatGPT API Tokens....170

Summary....173

Chapter 9: Integrating ChatGPT and DALL-E API: Build End-to-End PowerPoint Presentation Generator....174

Technical Requirements....175

Using DALL-E and the DALL-E API....175

Building PowerPoint Apps with the PPTX Python Framework....177

Generating Art with the DALL-E API....181

Finalizing and Testing the AI Presentation Generator....183

Summary....188

Chapter 10: Speech Recognition and Text-to-Speech with the Whisper API....189

Technical Requirements....190

Implementing Text Translation and Transcription with the Whisper API....190

Building a Voice Transcriber Application....194

Using PyDub for Longer Audio Inputs....197

Summary....198

Part 4:Advanced Concepts for Powering ChatGPT Apps....200

Chapter 11: Choosing the Right ChatGPT API Model....201

Technical Requirements....202

ChatGPT API Models – GPT-3, GPT-4, and Beyond....202

Using Chat Completion Parameters....206

ChatGPT API Rate Limits....211

Summary....213

Chapter 12: Fine-Tuning ChatGPT to Create Unique API Models....214

Technical Requirements....214

Fine-Tuning ChatGPT....215

Fine-Tuned Model Dataset Preparation....217

Building and Using the Fine-Tuned Model....221

Summary....225

Index....227

Why subscribe?....236

Other Books You May Enjoy....236

Packt is searching for authors like you....238

Download a free PDF copy of this book....239

Combining ChatGPT APIs with Python opens doors to building extraordinary AI applications. By leveraging these APIs, you can focus on the application logic and user experience, while ChatGPT's robust NLP capabilities handle the intricacies of human-like text understanding and generation.

This book is a guide for beginners to master the ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects. These projects offer practical experience in integrating ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt.

Throughout this book, you'll get to grips with performing NLP tasks, building a ChatGPT clone, and creating an AI-driven code bug fixing SaaS application. You'll also cover speech recognition, text-to-speech functionalities, language translation, and generation of email replies and PowerPoint presentations. This book teaches you how to fine-tune ChatGPT and generate AI art using DALL-E APIs, and then offers insights into selling your apps by integrating ChatGPT API with Stripe.

With practical examples available on GitHub, the book gradually progresses from easy to advanced topics, cultivating the expertise required to develop, deploy, and monetize your own groundbreaking applications by harnessing the full potential of ChatGPT APIs.

What You Will Learn:

  • Develop a solid foundation in using the ChatGPT API for natural language processing tasks
  • Build, deploy, and capitalize on a variety of desktop and SaaS AI applications
  • Seamlessly integrate ChatGPT with established frameworks such as Flask, Django, and Microsoft Office APIs
  • Channel your creativity by integrating DALL-E APIs to produce stunning AI-generated art within your desktop applications
  • Experience the power of Whisper API's speech recognition and text-to-speech features
  • Discover techniques to optimize ChatGPT models through the process of fine-tuning

Who this book is for:

With best practices, tips, and tricks for building applications using the ChatGPT API, this book is for programmers, entrepreneurs, and software enthusiasts. Python developers interested in AI applications involving ChatGPT, software developers who want to integrate AI technology, and web developers looking to create AI-powered web applications with ChatGPT will also find this book useful. A fundamental understanding of Python programming and experience of working with APIs will help you make the most of this book.


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