Book Image

Building AI Applications with ChatGPT APIs

By : Martin Yanev
4.2 (5)
Book Image

Building AI Applications with ChatGPT APIs

4.2 (5)
By: Martin Yanev

Overview of this book

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.
Table of Contents (19 chapters)
Free Chapter
1
Part 1:Getting Started with OpenAI APIs
4
Part 2: Building Web Applications with the ChatGPT API
8
Part 3: The ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development
14
Part 4:Advanced Concepts for Powering ChatGPT Apps

Integrating ChatGPT API with Microsoft Office

In this section, we will explore how to set up a PyCharm project and install the docx Python library to extract text from Word documents. The docx library is a Python package that allows us to read and write Microsoft Word (.docx) files and provides a convenient interface to access information stored in these files.

The first step is to initiate your work by creating a new PyCharm project. This will enable you to have a dedicated area to craft and systematize your translation app code. Although we have previously discussed how to develop a PyCharm project, I will still outline the steps for you here.

  1. Open PyCharm IDE on your system.
  2. Click on Create New Project from the welcome screen or go to File | New Project if you’re already in the IDE.
  3. Keep the default settings.
  4. Give your project the name Translation App.
  5. Click on Create to create the project.

To run the language translation desktop app, you...