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Free Download Step-by-Step Integration of OpenAI APIs(ChatGPT) in Unity 3D
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 34m | Size: 2.2 GB
Guide to integrate OpenAI APIs: Vision, TTS, DALL·E, Whisper, Chat Completion, and build chatbots inhttps://wwUnity 3D
What you'll learn
Create a ChatGPT-like chatbot in Unity 3D using OpenAI APIs.
Text-to-Speech (TTS): Generate audio from text using OpenAI's voices, with full customization options.
DALL·E: Create images based on user inputs with zoom functionality.
Vision API: Upload or select images and get real-time descriptions.
Whisper API: Record audio directly inside Unity or use the customizable file picker to upload files and convert them into text.
Copy to clipboard functionality: Seamlessly copy text for easy sharing.
Audio player with visualizations: Play back audio files or recordings with visualizations inside the chatbot.
File picker:fully customizable, resizable, draggable file picker built from scratch, functioning like a native C# dialog and adjustable to your project's needs.
Store and load conversation history: Save, reload, and delete chatbot history locally or on your services for personalized or persistent user interactions.
Dynamic UI: A sleek, resizable chatbot UI with customizable gradient themes and interaction bubbles.
Error management: User-friendly error messages for better interaction.
Markdown support: Automatically convert markdown into TextMeshPro and detect hyperlinks for clickable links.
Requirements
PC or Mac capable of running Unity 3D.
Code works with any Unity 3D version, but provided projects built in Unity 2022.3 can't be opened in earlier versions due to Unity's lack of backward compatibility.
Basic knowledge of C# scripting.
Regular internet access for API integration, callbacks, and community support.
Description
This course contains the use of artificial intelligence.Welcome to "Step-by-Step Integration of OpenAI APIs (ChatGPT) in Unity 3D"! This course will guide you through creating an intelligent, fully functional chatbot in Unity 3D. Whether you're building a chatbot or integrating OpenAI's services, you'll learn how to customize everything to fit your project's needs.From setting up a dynamic UI to integrating OpenAI's powerful services-such as Vision, Text-to-Speech (TTS), DALL·E, Whisper, and Chat Completion-you'll build a chatbot that can interact with users, process images and audio, and respond with customized outputs. The course takes you step-by-step through everything, built from scratch without relying on third-party SDKs. You'll have full access to the source code, so you can modify it as needed, ensuring complete flexibility. In this course, you will learn to build an intelligent, AI-powered chatbot system in Unity 3D using OpenAI APIs, tailored to your specific project needs. You'll integrate Text-to-Speech (TTS) functionality, generating lifelike audio from text with customizable OpenAI voices. Additionally, you'll work with DALL·E to generate images based on user inputs and add interactive zoom functionality for enhanced user engagement.The Vision API will allow you to upload or select images and receive real-time descriptions, while the Whisper API enables you to record audio directly in Unity or use a fully customizable file picker to upload and convert audio files into text. Clipboard integration ensures that chatbot responses can be easily copied and shared, while an audio player with visualizations adds interactive elements to play back audio or recordings within your chatbot.You'll also implement a fully customizable file picker that is resizable and draggable, functioning like a native C# dialog but built from scratch to adapt to any project needs. You'll manage user data efficiently by saving, reloading, and deleting it locally or on external services, ensuring flexibility for user customization or persistent storage. The course covers building a dynamic chatbot UI with a modern, resizable interface, customizable gradient themes, and interactive elements that can be adapted to any style. Additionally, you'll improve the user experience with error management that delivers friendly and informative error messages. Lastly, you'll learn to handle markdown and link support, converting markdown into TextMeshPro-formatted text and generating clickable hyperlinks for enhanced interactivity.Bonus: The project included in this course provides full access to an integrated Assistant API setup within the codebase. You can create, delete, and modify assistants, create threads, and send messages to specific threads for long-context-aware conversations.Note: Please note that the detailed explanation and walkthrough of the Assistant API are out of scope for this course and are provided as a bonus for independent exploration.
Who this course is for
Unity developers ready to supercharge their projects with AI-driven chatbots.
AI enthusiasts who want to explore OpenAI's potential within interactive applications.
Game developers looking for advanced AI interaction systems that add intelligent, engaging features to their games.
Enterprise developers building custom AI solutions for customer support, e-commerce, and business applications.
Developers learning API integration and looking to expand their knowledge with real-world applications.
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