Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Building AI Applications with ChatGPT APIs
  • Table Of Contents Toc
  • Feedback & Rating feedback
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

By : Martin Yanev
4.4 (27)
close
close
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)
close
close
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

Summary

This chapter described the creation and deployment of an AI-powered SaaS application, Code Bug Fixer, which uses OpenAI’s GPT-3 language model to provide code error explanations and fixes to users. It covered building the application using Flask, creating a web form that accepts user input for code and error messages, and designing a web interface for displaying the generated explanations and solutions. The chapter also provided instructions on how to test and deploy the application to the Azure cloud platform, offering security and scalability features to the application.

Furthermore, you learned how to create a user interface for Code Bug Fixer using HTML and CSS, adding a basic HTML structure, a header, an input form, and two columns containing text areas for the user to enter their code and error message. The testing process involved running test cases for the application in two different programming languages, Python and Java. By following the given steps, users...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY