Join me in a hands-on tutorial to create, manage, and continue conversations with ChatGPT, using Ruby on Rails and OpenAI’s API. Watch the video and take a step toward the future of AI-powered communication.

The rapid integration of Artificial Intelligence into daily routines and business practices is a testament to its revolutionary impact. OpenAI, one of the frontrunners in this transformation, offers powerful language models like GPT-3 and GPT-4 that many aspire to leverage. Understanding this need, I’ve created a YouTube video tutorial (available here) that guides you through building a Ruby on Rails frontend/middle-tier that communicates with OpenAI’s API. This allows you to create an experience similar to the ChatGPT website.

What the Video Offers

The tutorial I’ve provided is segmented into easily digestible sections, covering every aspect of the process. From introducing the concept to creating the app and installing components such as Devise and Docker, you’ll find guidance every step of the way.

Key implementations in the video include:

• User Management: Using Devise, you’ll learn how to efficiently create and manage users.
• Conversations Creation and Assignment: The tutorial guides you through creating and assigning ChatGPT conversations to specific users.
• Conversation Continuation: You’ll also discover how to save and retrieve these conversations, allowing them to be continued at any time.
• Bootstrap and Turbo: I quickly make a dynamic front end.

To keep the tutorial focused, I’ve left out error-checking and elements unrelated to the core functionality.

How to Implement

The hands-on steps begin with creating the app and installing Devise. Following that, you’ll see how to add seed data, set up Docker, update the database, and more. The tutorial also includes instructions for creating chat objects, controllers, views, and adding ruby-openai, along with explanations on enhancing account appearance, enabling chat view, and more.

Towards the end of the video, you’ll find more advanced topics such as communicating with OpenAI, continuing conversations, saving raw responses, and fixing the sidebar list.

Why Watch this Video

Whether you’re an experienced developer or a beginner, this video’s step-by-step guide equips you with the skills to build a conversational interface with OpenAI’s models through a Ruby on Rails application. With clear instructions and insightful tips, you’ll gain valuable insights into the world of AI.

Conclusion

The age of AI is upon us, and understanding how to implement tools like OpenAI is invaluable. In this video tutorial, I’ve laid out a pathway to create a system akin to the ChatGPT website, allowing you to advance your coding skills and embrace AI-powered conversation.

Embrace this opportunity to broaden your knowledge and creativity in the fascinating world of AI. Click here to watch the video and immerse yourself in this tutorial. Don’t miss out on this chance to learn and innovate — join me in exploring the future of conversational interfaces!

Source code and notes 🗳

You can download the source code and notes from my Gumroad account: https://philsmy.gumroad.com/l/ovsgkr
This is a 'pay what you want' item, meaning you can get it for free. But any payment is really appreciated as it helps me transition to creating great content like this full-time!

Talk to me!

You can find me on Twitter where I share insights on Ruby on Rails, discuss my journey with Zonmaster, and explore various aspects of life. You can also check out my YouTube channel where I cover various topics related to web development, including Ruby on Rails.

And guess what? I’ve recently released my first guide, “Getting Started with Ruby on Rails: A Step-by-Step Guide for Beginners” on Gumroad! 📚🚀 It’s a ‘Fair Price’ ebook, so you can get it for free, but any payment is greatly appreciated as it helps support my work and future guides. Don’t miss out on this opportunity to level up your web development skills with Rails!

Drop me a note on Twitter or LinkedIn if you have any questions or need help with your Rails project. Happy coding! 😊🎉