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

Speech Recognition and Text-to-Speech with the Whisper API

Welcome to Chapter 10 of our journey into the world of cutting-edge AI technologies. In this chapter, we embark on an exploration of the remarkable Whisper API. Harnessing the power of advanced speech recognition and translation, the Whisper API opens exciting possibilities for transforming audio into text. Imagine having the ability to transcribe conversations, interviews, podcasts, or any spoken content effortlessly. Whether you aim to extract valuable insights from multilingual audio files or create accessible content for a global audience, the Whisper API has you covered.

In this chapter, we will do a deep dive into the core functionalities of the Whisper API by developing a language transcription project using Python. We’ll get acquainted with its essential endpoints, namely transcriptions and translations, which form the backbone of its speech-to-text capabilities. With its state-of-the-art open source model...