Discover the Power of Real-time Chat with ChatGPT

Table of Contents

1. Introduction
2. Updating Rails with Open AI's GPT
3. Background Job with Sidekick
4. Using Active Job with Sidekick
5. Creating a Message Object
6. Generating Message Resource
7. Setting Up Turbo Stream
8. Rendering the Chat View
9. Communicating with Open AI
10. Streaming and Updating the UI

Updating Rails with Open AI's GPT

In this article, we will dive into the process of updating a Rails application to integrate Open AI's GPT (Generative Pre-trained Transformer). We will explore how to Create a chat interface that updates in real-time, similar to the functionality of the chat GPT site. We will cover various aspects, including setting up a background job using Sidekick, configuring Active Job with Sidekick, creating message objects, generating message resources, implementing Turbo Stream, rendering the chat view, communicating with Open AI, and streaming and updating the UI. So, let's get started!

1. Introduction

In this section, we will introduce the topic and provide an overview of what we aim to achieve in this article.

2. Updating Rails with Open AI's GPT

Here, we will start with the code from the previous iteration and make necessary updates to integrate Open AI's GPT. We will explore how to send asynchronous requests to Open AI in the background using Sidekick as the background processor.

3. Background Job with Sidekick

In this section, we will go over the process of adding Sidekick as the background processor to handle the asynchronous requests to Open AI. We will update the Procfile and the application configuration to use Sidekick.

4. Using Active Job with Sidekick

Here, we will configure the Rails application to use Sidekick as the active job queue adapter. We will modify the application.rb file to set Sidekick as the active job queue adapter.

5. Creating a Message Object

We will create an actual message object to improve the chat functionality. Instead of using hashes, each message will be stored as an object inside the chat. This will make it easier to update and display the messages.

6. Generating Message Resource

In this section, we will generate a message resource using the Rails generator. We will associate the message resource with the chat and add necessary attributes like role and content.

7. Setting Up Turbo Stream

Here, we will implement Turbo Stream to enable real-time updates in the chat interface. We will update the chat view to use Turbo Stream and create a div for displaying the chat messages. We will also modify the form to create messages instead of directly updating the chat model.

8. Rendering the Chat View

In this section, we will update the chat view to render the chat messages and form using Turbo Stream. We will add necessary code to append the newly created message to the chat view and update the form appropriately.

9. Communicating with Open AI

Here, we will integrate the communication with Open AI. We will create an Open AI response job and perform it in the background. We will use Sidekick to send the chat ID to Open AI and retrieve the response.

10. Streaming and Updating the UI

Finally, we will implement the streaming functionality to receive and display the responses from Open AI in real-time. We will update the message model to Broadcast the newly created and updated messages using Turbo Stream and provide a seamless chat experience.

By following the steps outlined in this article, You will be able to successfully update your Rails application to utilize Open AI's GPT for a dynamic chat interface that updates in real-time.

Highlights:

• Updating Rails application with Open AI's GPT
• Implementing real-time chat interface with Turbo Stream
• Background job processing with Sidekick
• Seamless communication with Open AI's GPT

FAQ:

Q: How do I integrate Open AI's GPT with a Rails application? A: To integrate Open AI's GPT with a Rails application, you need to update your code to make asynchronous requests to Open AI in the background. This can be achieved by using a background job processor like Sidekick.

Q: How does Turbo Stream work in updating the UI? A: Turbo Stream allows for real-time updates in the UI by replacing or appending specific DOM elements in the page. It works seamlessly with Rails and provides a smooth user experience.

Q: What are the benefits of using Sidekick for background job processing? A: Sidekick offers efficient background job processing, allowing you to offload time-consuming tasks to a separate process. It ensures that your UI remains responsive and provides a better user experience.

Q: Can I customize the chat interface to fit my application's design? A: Yes, you can customize the chat interface to match your application's design. By modifying the view templates and CSS styles, you can create a unique and branded chat experience for your users.