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

ChatGPT API Rate Limits

Rate limits play a crucial role in maintaining the stability and fairness of the ChatGPT API. They are restrictions placed on the number of requests and tokens that a user or client can access within a specific time frame. OpenAI implements rate limits for several reasons:

  • Protection against abuse and misuse: Rate limits help safeguard the API from malicious actors who may attempt to overload the system by flooding it with excessive requests. By setting rate limits, OpenAI can mitigate such activities and maintain the quality of service for all users.
  • Ensuring fair access: By throttling the number of requests a single user or organization can make, rate limits ensure that everyone has an equal opportunity to utilize the API. This prevents a few users from monopolizing the resources and causing slowdowns for others.
  • Managing server load: With rate limits, OpenAI can effectively manage the overall load on its infrastructure. By controlling the...