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

Building a ChatGPT Clone

The first application in this chapter and in this book is going to be a ChatGPT clone that utilizes OpenAI’s powerful language model to generate human-like responses to user input. The application will be built using Flask, a lightweight web framework for Python, and will feature a simple and elegant frontend interface for users to interact with. With just a few lines of code, users will be able to input their text and receive a response generated by the OpenAI language model. Specifically, the application will be able to do the following:

  • Render a simple browser chat interface to interact with a chatbot.
  • The chatbot will accept user input and send it to the ChatGPT API.
  • Display the response from the ChatGPT API to the user.
  • Show chat history.

The clone app will be able to take in a user’s input, send it to OpenAI’s API, and receive a response, which will be displayed to the user in real time. The app will be...