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 THIS CODE IS MEANT TO BE SELF HOSTED USING THE LIBRARY: https://abetlen.github.io/llama-cpp-python/
 
 
-This code is for a Discord bot that uses OpenAI's GPT-3 language model to generate responses to user messages. It listens for messages in two specified Discord channels, and when a user sends a message, it appends it to the conversation history and sends it to the GPT-3 API to generate a response. The response is then sent back to the user in the same channel. The bot uses the Node.js discord.js library to interact with the Discord API and the node-fetch library to make HTTP requests to the GPT-3 API.
+This code is for a Discord bot that uses OpenAI's GPT-3 language model (self hosted at home) to generate responses to user messages. It listens for messages in two specified Discord channels, and when a user sends a message, it appends it to the conversation history and sends it to the GPT-3 API to generate a response. The response is then sent back to the user in the same channel. The bot uses the Node.js discord.js library to interact with the Discord API and the node-fetch library to make HTTP requests to the GPT-3 API.
 
 Here is a summary of the main parts of the code:
 
 Import required modules and set environment variables using dotenv.
+
 Create a new Client instance and set the intents and partials.
+
 Define two channel IDs that the bot will listen to.
+
 Create a Map to store ongoing conversations with users.
+
 Define functions to update the bot's presence status, check if any conversation is busy, and set a conversation as busy or not busy.
+
 Listen for the ready event and update the bot's presence status.
+
 Listen for the messageCreate event and respond to messages that are sent in the specified channels.
+
 When a message is received, check if any conversation is busy. If so, delete the message and send a busy response to the user.
+
 If no conversation is busy, append the user message to the conversation history and send it to the GPT-3 API to generate a response.
+
 If the response is not empty, send it back to the user in the same channel. If it is empty, send a reset message and delete the conversation history for that user.
+
 Define a generateResponse function that sends a request to the GPT-3 API to generate a response. If the request times out or an error occurs, handle it accordingly.
+
 Call the generateResponse function within the messageCreate event listener function.