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.

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Spis treści

Building AI Applications with ChatGPT APIs. Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects eBook -- spis treści

• 1. Beginning with ChatGPT API for NLP Tasks
• 2. Building a ChatGPT Clone
• 3. Creating and Deploying an AI Code Bug Fixing SaaS Application Using Flask
• 4. Integrating the AI Code Bug Fixing Application with a Payment Service
• 5. Quiz Generation App with ChatGPT and Django
• 6. Language Translation Desktop App with ChatGPT API and Microsoft Word
• 7. Building an Outlook Email Reply Generator
• 8. Essay Generation Tool with PyQt and ChatGPT API
• 9. Integrating ChatGPT and DALL-E API: Build End-to-End PowerPoint Presentation Generator
• 10. Speech Recognition and Text-to-Speech with Whisper API
• 11. Choosing the Right ChatGPT API Model
• 12. ChatGPT Fine-tuning and Integrations