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Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

By : Martin Yanev
4.4 (27)
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Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

4.4 (27)
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)
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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

Summary

In this chapter, the focus was on building a Django project for a quiz generation application. We provided a step-by-step guide to set up and structure the project, including the installation of Django and important aspects such as database initialization, running a development server, and understanding the flow of views and URLs in Django. We also explored the concept of templates and demonstrated how to incorporate external CSS resources such as the Bootstrap framework.

We also explained how to integrate ChatGPT and Django for quiz generation. We illustrated the process of adding a text input field and a submit button to the application’s interface, enabling users to generate relevant questions using the ChatGPT API. We also discussed how to test the Quiz Generator application and outlined the next steps, which involve building a database to store the generated questions. You learned how to store the generated quizzes in an SQLite database, using Django’s...

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