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

Creating a ChatGPT Clone with Flask

To create a ChatGPT clone with Flask, you will need to set up a backend that communicates with the ChatGPT API to generate responses to user input. Flask is a popular Python web framework that can be used to create web applications, including ChatGPT clones. We will begin our project by creating a simple Flask application and gradually enhance it by incorporating the ChatGPT API, additional web pages, and the frontend.

To get started, initiate a new PyCharm project and give it the name ChatGPT_Clone. Create a new file named app.py to serve as the backend of your application, where you’ll define your Flask application and interact with the ChatGPT API. Once you have created the project, you will need to install the Flask package using pip. You can do this by running the following command in your project’s terminal:

$ pip install flask

After installing Flask, you can start building your Flask application. To do this, you need...