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Building AI Applications with OpenAI APIs: Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI, 2nd Edition

معرفی کتاب «Building AI Applications with OpenAI APIs: Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI, 2nd Edition» نوشتهٔ Martin Yanev در سال 2024. این کتاب در فرمت epub، زبان انگلیسی ارائه شده است.

Improve your app development skills by building a ChatGPT clone, code bug fixer, quiz generator, translation app, email auto-reply, PowerPoint generator, and more Key Features Transition into an expert AI developer by mastering ChatGPT concepts, including fine-tuning and integrations Gain hands-on experience through real-world projects covering a wide range of AI applications Implement payment systems in your applications by integrating the ChatGPT API with Stripe Purchase of the print or Kindle book includes a free PDF eBook Book Description 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. What you will learn Develop a solid foundation in using the OpenAI API for NLP tasks Build, deploy, and integrate payments into various desktop and SaaS AI applications Integrate ChatGPT with frameworks such as Flask, Django, and Microsoft Office APIs Unleash your creativity by integrating DALL-E APIs to generate stunning AI art within your desktop apps Experience the power of Whisper API's speech recognition and text-to-speech features Find out how to fine-tune ChatGPT models for your specific use case Master AI embeddings to measure the relatedness of text strings Who this book is for This book is for a diverse range of professionals, including programmers, entrepreneurs, and software enthusiasts. Beginner programmers, Python developers exploring AI applications with ChatGPT, software developers integrating AI technology, and web developers creating AI-powered web applications with ChatGPT will find this book beneficial. Scholars and researchers working on AI projects with ChatGPT will also find it valuable. Basic knowledge of Python and familiarity with APIs is needed to understand the topics covered in this book. Building AI Applications with OpenAI APIs Contributors About the author About the reviewer Preface Who this book is for What this book covers To get the most out of this book Download the example code files Get in touch Share Your Thoughts Download a free PDF copy of this book Part 1:Getting Started with OpenAI APIs 1 Getting Started with the ChatGPT API for NLP Tasks Technical requirements The ChatGPT revolution Using ChatGPT from the web Creating an OpenAI account ChatGPT web interface Getting started with the ChatGPT API Obtaining an API key API tokens and pricing Setting up your Python development environment Installing Python and the VSCode IDE Setting up a Python virtual environment The pip package installer A simple ChatGPT API response Summary 2 Building a ChatGPT Clone Technical requirements Creating a ChatGPT clone with Flask Frontend HTML generation Enhancing the ChatGPT clone design Intercepting ChatGPT API endpoints ChatGPT clone conversation retention Summary Part 2: Build Web Applications with ChatGPT API 3 Creating and Deploying a Code Bug-Fixing Application Using Flask Technical requirements Performing multiple ChatGPT API requests Setting up the Code Bug Fixer project Implementing the Code Bug Fixer backend Using text areas and containers Testing the Code Bug Fixer app Deploying the ChatGPT app to the Azure cloud Summary 4 Integrating the Code Bug-Fixing Application with a Payment Service Technical requirements Introducing and integrating payments with Stripe Setting up a SQL user database Initializing a SQL database Getting a browser fingerprint ID Tracking application users Implementing the usage counters Adding payments to a ChatGPT application Building the payments page Confirming user payments Summary 5 Quiz Generation App with ChatGPT and Django Technical requirements Building a Django project Creating the exam app frame and views Connecting Django views and URLs Developing Django templates Running your Django application Integrating ChatGPT and Django for quiz generation Building the quiz generation text area and the submit button Creating ChatGPT API views with Django Storing and downloading generated quizzes Saving the quizzes in a SQLite database Building the download quiz view Designing the download template Summary Part 3: ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development 6 Language Translation Desktop App with the ChatGPT API and Microsoft Word Technical requirements Integrating the ChatGPT API with Microsoft Office Building a user interface with Tkinter Integrating Microsoft Word text with the ChatGPT API Translating Word text with gpt-3.5-turbo Summary 7 Building an Outlook Email Reply Generator Technical requirements Passing Outlook data to the ChatGPT API Setting up the Outlook app Accessing email data with the win32com client Generating automatic email replies Summary 8 Essay Generation Tool with PyQt and the ChatGPT API Technical requirements Building a desktop application with PyQT Setting up the essay generation tool project Building the application GUI with PyQt Creating essay generation methods with the ChatGPT API Controlling the ChatGPT API tokens Summary 9 Integrating the ChatGPT and DALL-E APIs: Building an End-to-End PowerPoint Presentation Generator Technical requirements Using the DALL-E API Building PowerPoint applications with the PPTX Python framework Generating art with the DALL-E API Finalizing and testing the PowerPoint Presentation Generator Summary 10 Speech Recognition and Text-to-Speech with the Whisper API Technical requirements Implementing text translation and transcription with the Whisper API Building a voice transcription application Using PyDub for longer audio inputs Summary Part 4: Advanced Concepts for Powering ChatGPT Apps 11 Choosing the Right ChatGPT API Model Technical requirements ChatGPT API models – GPT-3.5, GPT-4, and beyond Using chat completion parameters ChatGPT API rate limits OpenAI embeddings Summary 12 Fine-Tuning ChatGPT to Create Unique API Models Technical requirements Fine-tuning ChatGPT and dataset preparation Building and using the fine-tuned model Summary Index Why subscribe? 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