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.
