Creating ChatGPT English Role-Play Chat Service (Feat. Python/Django Channels)

1. Overview

We introduce various LLM chat services and outline the technologies required to develop an English situational chat service.

2. Explore the OpenAI API

First, learn how to use the OpenAI Chatbot API and how to safely handle API keys.

3. Creating an English Situational Chat CLI Application

We'll introduce ChatGPT prompts for language-specific scenarios and create a CLI version of a chat application. This development will be identical to the web version of the chat application we'll develop later. Compared to the web version, this allows you to focus more on developing the core chat functionality.

• Talk to GPT
• When you're having trouble figuring out which expression to use, get suggestions
• Read the message aloud

4. English Situational Chat Web Service: Project Preliminary Work

Create a Django project for web service development and perform the necessary preparatory work.

• Handling environment variables using the django-environ library
• Easy Bootstrap5 integration using the django-bootstrap5 library.
• Designing a Django model containing the chat room settings for a situational drama
• (For testing purposes) Translation function through Google Translate mobile page crawling

5. Create/edit chat rooms/create list/detail pages

Beyond implementing the chat, a web chat service requires implementing the underlying pages. We'll develop a feature that allows users to create and manage chat rooms in as many languages, levels, and situations as they desire, using Django as efficiently as possible.

6. Implementing 1:1 chat with the server via channels and web sockets

Django Channels natively supports the WebSocket protocol. We'll show you how to efficiently use Channels to create 1:1 WebSocket chats and even suggest ways to efficiently store and manage conversation history needed for OpenAI chatbot API calls.

7. Creating a situational chat feature using WebSockets

This is the climax of this lecture! The previous sections have been a buildup to this section. We'll create a scenario prompt and create a conversation with the OpenAI chatbot API via websocket.

8. Creating a situational chat service add-on

• When you engage in situational chat in a language other than your native language, many uncomfortable situations arise.
• When you are at a loss as to what expression to use next
• It's a shame to only see it in text, but I wish the message was read aloud.
• When you want messages to be read automatically

To address these inconveniences, we're upgrading our chat service to something more useful and fun!