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Building AI Applications with OpenAI APIs

Building AI Applications with OpenAI APIs - Second Edition

By : Martin Yanev
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Building AI Applications with OpenAI APIs

Building AI Applications with OpenAI APIs

By: Martin Yanev

Overview of this book

Unlock the power of AI in your applications with ChatGPT with this practical guide that shows you how to seamlessly integrate OpenAI APIs into your projects, enabling you to navigate complex APIs and ensure seamless functionality with ease. This new edition is updated with key topics such as OpenAI Embeddings, which’ll help you understand the semantic relationships between words and phrases. You’ll find out how to use ChatGPT, Whisper, and DALL-E APIs through 10 AI projects using the latest OpenAI models, GPT-3.5, and GPT-4, with Visual Studio Code as the IDE. Within these projects, you’ll integrate ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt. You’ll get to grips with NLP tasks, build a ChatGPT clone, and create an AI code bug-fixing SaaS app. The chapters will also take you through speech recognition, text-to-speech capabilities, language translation, generating email replies, creating PowerPoint presentations, and fine-tuning ChatGPT, along with adding payment methods by integrating the ChatGPT API with Stripe. By the end of this book, you’ll be able 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: Build Web Applications with ChatGPT API
8
Part 3: ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development
14
Part 4: Advanced Concepts for Powering ChatGPT Apps

Building a ChatGPT Clone

The first application in this chapter and this book is going to be a ChatGPT clone that utilizes OpenAI’s powerful language model to generate human-like responses to user input. The application will be built using Flask, a lightweight web framework for Python, and will feature a simple and elegant frontend interface for users to interact with. With just a few lines of code, users will be able to input their text and receive a response generated by the OpenAI language model. Specifically, the application will be able to render a simple browser chat interface to interact with a chatbot. The chatbot will accept user input and send it to the ChatGPT API, display the response from the ChatGPT API to the user, and show chat history.

The clone app will be able to take in a user’s input, send it to OpenAI’s API, and receive a response, which will be displayed to the user in real time. The app will be customizable to allow for the use of different...

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Building AI Applications with OpenAI APIs
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