Building AI Applications with OpenAI APIs: Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI projects

Building AI Applications with OpenAI APIs

Copyright © 2024 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Group Product Manager: Niranjan Naikwadi

Publishing Product Manager: Tejashwini R

Book Project Manager: Urvi Sharma

Content Development Editor: Priyanka Soam

Technical Editor: Kavyashree K S

Copy Editor: Safis Editing

Proofreader: Priyanka Soam

Indexer: Hemangini Bari

Production Designer: Shankar Kalbhor

DevRel Marketing Coordinator: Vinishka Kalra

First published: September 2023

Second edition: October 2024

Production reference: 1160824

Published by

Packt Publishing Ltd.

Grosvenor House

11 St Paul’s Square

Birmingham

B3 1RB, UK.

ISBN 978-1-83588-400-3

www.packtpub.com

To my sister, Petya Yaneva, whose encouragement and guidance in learning coding have been invaluable to my journey. To my lifelong friend and colleague, Petar Dimov, whose enduring friendship has been a source of ideas, motivation, and positivity, always supporting me through every challenge.

– Martin Yanev

Contributors

About the author

Martin Yanev is a highly accomplished software engineer with a wealth of expertise spanning diverse industries, including aerospace and medical technology. With an illustrious career of over eight years, Martin has carved a niche for himself in developing and seamlessly integrating cutting-edge software solutions for critical domains such as air traffic control and chromatography systems.

Renowned as an esteemed instructor and a computer science professor at Fitchburg State University, Martin has empowered an impressive global community of over 280,000 students. His instructional prowess shines through as he imparts knowledge and guidance, leveraging his extensive proficiency in frameworks such as Flask, Django, pytest, and TensorFlow. Possessing a deep understanding of the complete spectrum of OpenAI APIs, Martin exhibits mastery in constructing, training, and fine-tuning AI systems.

Martin’s commitment to excellence is exemplified by his dual master’s degrees in aerospace systems and software engineering. This remarkable academic achievement underscores his unwavering dedication to both the practical and theoretical facets of the industry. With his exceptional track record and multifaceted skill set, Martin continues to propel innovation and drive transformative advancements in the ever-evolving landscape of software engineering.

About the reviewer

Alok Jain is a seasoned IT professional with over 20 years of hands-on experience in various roles, including architect, full-stack engineer, cloud engineer, and machine learning engineer. He has worked with federal agencies, the banking industry, and insurance companies in the past. His expertise includes digital modernization and applied generative AI solutions. He holds an engineering degree from the Indian Institute of Technology, Kanpur. Alok is also the author of a book on time management and a book on Java.

Table of Contents

Preface

Part 1: Getting Started with OpenAI APIs

1

Getting Started with the ChatGPT API for NLP Tasks

Technical requirements

The ChatGPT revolution

Using ChatGPT from the web

Creating an OpenAI account

ChatGPT web interface

Getting started with the ChatGPT API

Obtaining an API key

API tokens and pricing

Setting up your Python development environment

Installing Python and the VSCode IDE

Setting up a Python virtual environment

The pip package installer

A simple ChatGPT API response

Summary

2

Building a ChatGPT Clone

Technical requirements

Creating a ChatGPT clone with Flask

Frontend HTML generation

Enhancing the ChatGPT clone design

Intercepting ChatGPT API endpoints

ChatGPT clone conversation retention

Summary

Part 2: Build Web Applications with ChatGPT API

3

Creating and Deploying a Code Bug-Fixing Application Using Flask

Technical requirements

Performing multiple ChatGPT API requests

Setting up the Code Bug Fixer project

Implementing the Code Bug Fixer backend

Using text areas and containers

Testing the Code Bug Fixer app

Deploying the ChatGPT app to the Azure cloud

Summary

4

Integrating the Code Bug-Fixing Application with a Payment Service

Technical requirements

Introducing and integrating payments with Stripe

Setting up a SQL user database

Initializing a SQL database

Getting a browser fingerprint ID

Tracking application users

Implementing the usage counters

Adding payments to a ChatGPT application

Building the payments page

Confirming user payments

Summary

5

Quiz Generation App with ChatGPT and Django

Technical requirements

Building a Django project

Creating the exam app frame and views

Connecting Django views and URLs

Developing Django templates

Running your Django application

Integrating ChatGPT and Django for quiz generation

Building the quiz generation text area and the submit button

Creating ChatGPT API views with Django

Storing and downloading generated quizzes

Saving the quizzes in a SQLite database

Building the download quiz view

Designing the download template

Summary

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

6

Language Translation Desktop App with the ChatGPT API and Microsoft Word

Technical requirements

Integrating the ChatGPT API with Microsoft Office

Building a user interface with Tkinter

Integrating Microsoft Word text with the ChatGPT API

Translating Word text with gpt-3.5-turbo

Summary

7

Building an Outlook Email Reply Generator

Technical requirements

Passing Outlook data to the ChatGPT API

Setting up the Outlook app

Accessing email data with the win32com client

Generating automatic email replies

Summary

8

Essay Generation Tool with PyQt and the ChatGPT API

Technical requirements

Building a desktop application with PyQT

Setting up the essay generation tool project

Building the application GUI with PyQt

Creating essay generation methods with the ChatGPT API

Controlling the ChatGPT API tokens

Summary

9

Integrating the ChatGPT and DALL-E APIs: Building an End-to-End PowerPoint Presentation Generator

Technical requirements

Using the DALL-E API

Building PowerPoint applications with the PPTX Python framework

Generating art with the DALL-E API

Finalizing and testing the PowerPoint Presentation Generator

Summary

10

Speech Recognition and Text-to-Speech with the Whisper API

Technical requirements

Implementing text translation and transcription with the Whisper API

Building a voice transcription application

Using PyDub for longer audio inputs

Summary

Part 4: Advanced Concepts for Powering ChatGPT Apps

11

Choosing the Right ChatGPT API Model

Technical requirements

ChatGPT API models – GPT-3.5, GPT-4, and beyond

Using chat completion parameters

ChatGPT API rate limits

OpenAI embeddings

Summary

12

Fine-Tuning ChatGPT to Create Unique API Models

Technical requirements

Fine-tuning ChatGPT and dataset preparation

Building and using the fine-tuned model

Summary

Index

Other Books You May Enjoy

Preface

Hello there! The ChatGPT API is a powerful tool provided by OpenAI that enables developers to integrate the state-of-the-art ChatGPT language model into their own applications, allowing for interactive and dynamic conversational experiences through API calls. As the field of Artificial Intelligence (AI) rapidly evolves, so does the demand for intelligent and interactive systems that can understand and respond to human language and generate creative visual content.

There are three main OpenAI APIs that can enable developers to harness the power of AI:

ChatGPT API: Use this to unleash human-like text generation capabilities

Whisper API: Use this to enhance speech recognition and text-to-speech capabilities

DALL-E API: Use this to dive into the world of AI-generated art

The aim of this book is to empower you with the knowledge and skills required to leverage these powerful APIs effectively. Through a series of nine innovative AI projects, we will take you on a step-by-step journey to becoming a proficient developer, capable of creating, deploying, and monetizing your own intelligent applications.

Throughout this book, you will gain practical experience in integrating ChatGPT with popular frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt. We will cover a wide range of NLP tasks and you will learn how to build your very own ChatGPT clone and create an AI-powered code bug-fixing SaaS application. Additionally, we will explore speech recognition, text-to-speech capabilities, language translation, embeddings, and generating email replies and PowerPoint presentations.

Furthermore, I will teach you how to fine-tune your own ChatGPT model. ChatGPT API fine-tuning opens possibilities for creating highly tailored and specialized AI applications. By fine-tuning the ChatGPT model, we can train it on specific datasets, allowing the AI to learn and adapt to specific domains, industries, or user requirements. This fine-tuning process enables the creation of AI applications with enhanced accuracy, improved relevance, and a deeper understanding of specific contexts.

In this era of the AI revolution, an abundance of opportunities awaits those with the skills to develop AI applications.

Who this book is for

This book is aimed at a diverse range of professionals, including programmers, entrepreneurs, students, and software enthusiasts, with the goal of providing best practices, tips, and tricks for building applications using the ChatGPT API. It’s especially beneficial for beginner programmers, software developers who want to integrate AI technology, and web developers looking to create AI-powered web applications with ChatGPT.

This book is intended for three main target audience personas:

AI enthusiasts: These individuals have a passion for AI and are eager to explore its practical applications. They may be hobbyists, students, or professionals from various backgrounds who want to gain a deeper understanding of AI technologies and leverage them to build innovative applications. This book will provide them with the necessary knowledge and hands-on experience to start their AI journey with the ChatGPT API.

Software developers: Software developers, including both beginners and experienced professionals, who are interested in integrating AI capabilities into their applications, will find this book valuable. They may be seeking to enhance their existing projects with AI-powered features, such as chatbots, sentiment analysis, or natural language understanding. By mastering the ChatGPT API, they can elevate their software development skills and deliver intelligent and conversational experiences to their users.

AI entrepreneurs: Entrepreneurs looking to leverage the potential of AI and build AI-powered applications for business purposes will benefit from this book. Whether they want to create chat-based customer support systems, virtual assistants, or other AI-driven solutions, this book will guide them through the process of building self-sustaining applications. They will learn how to monetize their AI applications, integrate payment platforms, and deploy scalable SaaS solutions, enabling them to capitalize on the opportunities presented by the ChatGPT API.

Regardless of their background or expertise, these three target audiences will find practical guidance, real-world examples, and comprehensive instructions in this book to master the ChatGPT API and develop their own AI applications successfully.

What this book covers

Chapter 1

, Getting Started with the ChatGPT API for NLP Tasks, introduces ChatGPT and the ChatGPT API, guides you in setting up your Python environment and necessary downloads, and explores OpenAI account registration, API token usage, and the pricing model for utilizing OpenAI APIs.

Chapter 2

, Building a ChatGPT Clone, provides a step-by-step guide on designing a ChatGPT clone, covering the backend development using the ChatGPT API, deploying the project locally, retaining the conversation history, and designing the frontend using HTML, CSS, and basic JavaScript, offering a hands-on project to prepare you for more advanced SaaS app development covered in subsequent chapters.

Chapter 3

, Creating and Deploying a Code Bug-Fixing Application Using Flask, guides you through building and deploying a robust SaaS app using the ChatGPT API. It shows how to build a complete development cycle, from deployment to web hosting, enabling global usage. The app, leveraging ChatGPT, offers code debugging and error description, introducing a unique and valuable project.

Chapter 4

, Integrating the Code Bug-Fixing Application with a Payment Service, provides insights on integrating a payment service into a ChatGPT application, utilizing visit tracking to implement a Stripe API-based payment mechanism. You will also gain knowledge on incorporating a basic database into your projects.

Chapter 5

, Quiz Generation App with ChatGPT and Django, provides a comprehensive guide on integrating the ChatGPT API into Django, teaching you how to create Django pages and views with AI capabilities. You will learn how to build a Django project generating exam questions from study material and run it locally as a SaaS application.

Chapter 6

, Language Translation Desktop App with ChatGPT API and Microsoft Word, guides you through utilizing the ChatGPT API for Microsoft Word text translation, while also teaching you how to package your Python script into a functional desktop application using TKinter. It introduces the integration of the ChatGPT API with Microsoft Office automation tools, empowering you to create a custom text translation application.

Chapter 7

, Building an Outlook Email Reply Generator, provides a practical guide to building an app that utilizes Outlook email data to generate personalized replies and prompt design.

Chapter 8

, Essay Generation Tool with PyQt and ChatGPT API, provides you with a step-by-step guide on how to integrate ChatGPT API with PyQT for desktop app development, and how to control API tokens from the app frontend.

Chapter 9

, Integrating ChatGPT and DALL-E API: Building End-to-End PowerPoint Presentation Generator, provides a hands-on approach to integrating two AI APIs, ChatGPT and DALL-E, and creating an AI-generated PowerPoint presentation.

Chapter 10

, Speech Recognition and Text-to-Speech with the Whisper API, provides you with an overview of the Whisper API and guides you through a practical project to build subtitles and translations using audio files.

Chapter 11

, Choosing the Right ChatGPT API Model, provides an overview of ChatGPT API models and parameters, helping you choose the best model for your project, understand the limitations of the models, and learn about embeddings.

Chapter 12

, Fine-Tuning ChatGPT to Create Unique API Models, provides an overview of fine-tuning the ChatGPT API model, along with a case study to illustrate how to use this process in a real-world application to reduce the cost of building AI applications.

To get the most out of this book

Before embarking on this book, it is important for you to have a fundamental understanding of Python programming and API concepts. Additionally, familiarity with the basics of frontend and backend technologies used in application development is highly recommended. This prerequisite knowledge will enhance your comprehension and enable you to fully grasp the concepts and examples presented throughout the book.

Rest assured, this book provides comprehensive coverage of all the necessary installations, including Python and the VS Code IDE. You will find step-by-step instructions and detailed explanations within the book to guide you through the installation process. By following the instructions provided, you will be able to set up your Python environment and VS Code IDE with ease, ensuring a smooth journey through the book’s content.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

I highly encourage you to actively engage with the applications being built in this book by experimenting with variable changes and observing the resulting impact on the app. This hands-on approach will provide a deeper understanding of how different variables affect the application’s behavior. Furthermore, I urge you to leverage the knowledge gained from the book to embark on your own application-building journey. By using the applications from the book as a foundation, you can apply your newfound skills and creativity to develop your own unique applications, fostering a deeper mastery of the concepts covered.

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: To get started, you’ll need to import the openai library into your app.py file.

A block of code is set as follows:

from openai import OpenAI

client = OpenAI(api_key=YOUR_API_KEY)

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

question = input(What would you like to ask ChatGPT? )

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

$ python app.py

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: To do that, perform a right-click on the templates folder and select New | HTML file.

Tips or important notes

Appear like this.

Get in touch

Feedback from our readers is always welcome.

General feedback: If you have questions about any aspect of this book, email us at [email protected]

and mention the book title in the subject of your message.

Errata: Although we have taken every care to ensure the accuracy of our content, mistakes do happen. If you have found a mistake in this book, we would be grateful if you would report this to us. Please visit www.packtpub.com/support/errata

and fill in the form.

Piracy: If you come across any illegal copies of our works in any form on the internet, we would be grateful if you would provide us with the location address or website name. Please contact us at [email protected]

with a link to the material.

If you are interested in becoming an author: If there is a topic that you have expertise in and you are interested in either writing or contributing to a book, please visit authors.packtpub.com

.

Share Your Thoughts

Once you’ve read Building AI Applications with OpenAI APIs, we’d love to hear your thoughts! Please click here to go straight to the Amazon review page for this book and share your feedback

.

Your review is important to us and the tech community and will help us make sure we’re delivering excellent quality content.

Download a free PDF copy of this book

Thanks for purchasing this book!

Do you like to read on the go but are unable to carry your print books everywhere?

Is your eBook purchase not compatible with the device of your choice?

Don’t worry, now with every Packt book you get a DRM-free PDF version of that book at no cost.

Read anywhere, any place, on any device. Search, copy, and paste code from your favorite technical books directly into your application.

The perks don’t stop there, you can get exclusive access to discounts, newsletters, and great free content in your inbox daily

Follow these simple steps to get the benefits:

Scan the QR code or visit the link below

https://packt.link/free-ebook/9781835884003

Submit your proof of purchase

That’s it! We’ll send your free PDF and other benefits to your email directly

Part 1:Getting Started with OpenAI APIs

In the first part, encompassing two chapters, the focus is on providing a comprehensive overview of ChatGPT and its significance for Natural Language Processing (NLP). We will discuss the fundamentals of ChatGPT, exploring its impact and usage in web applications, as well as introducing readers to the ChatGPT API. This part shows the process of building a ChatGPT clone, which is a chatbot that utilizes OpenAI’s language model to generate human-like responses to user input and retains the conversation history. The application will be built using Flask, a lightweight web framework for Python.

This part has the following chapters:

Chapter 1, Getting Started with the ChatGPT API for NLP Tasks

Chapter 2, Building a ChatGPT Clone

1

Getting Started with the ChatGPT API for NLP Tasks

Natural Language Processing (NLP) is an area of Artificial Intelligence (AI) that focuses on the interaction between computers and humans through natural language. Over the years, NLP has made remarkable progress in the field of language understanding; ChatGPT is one such revolutionary NLP tool that has gained significant popularity in recent years.

ChatGPT is an advanced AI language model developed by OpenAI, and it has been trained on a massive dataset of diverse texts, including books, articles, and web pages. With its ability to understand