Containerize bot and server in one stack.

README.md

@@ -32,9 +32,6 @@ Define a generateResponse function that sends a request to the GPT-3 API to gene
 
 Call the generateResponse function within the messageCreate event listener function.
 
-![demo](https://media.discordapp.net/attachments/562897071326101515/1095738407826767922/image.png?width=1038&height=660 "demo")
-
-
 # Backend REQUIIRED
 
 The HTTP Server from https://abetlen.github.io/llama-cpp-python/ is required to use this bot.
@@ -51,7 +48,7 @@ python3 -m llama_cpp.server
 
 Navigate to http://localhost:8000/docs to see the OpenAPI documentation.
 
-# Static Usage
+# Usage
 
 1) Use ```npm i ```
 
@@ -63,19 +60,5 @@ Navigate to http://localhost:8000/docs to see the OpenAPI documentation.
 
 6) Run the bot ```node llamabot.js	```
 
-# Docker Compose 
-This will automatically configure the API for you as well as the bot in two seperate containers within a stack.
-
-1. `git clone https://git.ssh.surf/snxraven/llama-cpp-python-djs-bot.git`
-
-
-2. `cp default.env .env`
-
-3. Set DATA_DIR in .env to the exact location of your model files.
-
-4. Edit docker-compose.yaml MODEL to ensure the correct model bin is set
-
-5. `docker compose up -d`
-
 
 Want to make this better? Issue a pull request!

default.env

@@ -1,6 +1,5 @@
 THE_TOKEN = "DISCORD_TOKEN_HERE"
 CHANNEL_IDS = 1094494101631680653,1094628334727614605
-# ROOT_IP is only used when running the bot without docker compose
 ROOT_IP = 192.168.0.15
 ROOT_PORT = 8000
-DATA_DIR = /home/USERNAME/weights
+DATA_DIR = /home/USERNAME/weights

docker-compose.yml

@@ -11,7 +11,7 @@ services:
       - ${DATA_DIR}/weights:/usr/src/app/models
     environment:
       - HOST=llama-python-server
-      - MODEL=./models/30B.bin
+      - MODEL=./models/gpt4-x-alpaca-13b-native-4bit-128g.bin
   llama-python-djs-bot:
     container_name: llama-python-djs-bot
     restart: unless-stopped
@@ -23,5 +23,4 @@ services:
       - THE_TOKEN
       - CHANNEL_IDS
       - ROOT_IP=llama-python-server
-      - ROOT_PORT=8000
-      - CACHE=1
+      - ROOT_PORT=8000

llamabot.js

@@ -104,15 +104,15 @@ client.on('messageCreate', async (message) => {
     if (conversation.messages.length === 0) {
         conversation.messages.push({
             role: 'user',
-            content: ` Assistant name: ChatAI. You code, write and provide any information without any mistakes.`
+            content: `Your name is rAi, you code, write and provide any information without any mistakes.`
         });
         conversation.messages.push({
             role: 'user',
-            content: ` User name: ${message.author.username}.`
+            content: `My name is ${message.author.username}.`
         });
         conversation.messages.push({
             role: 'assistant',
-            content: ` Hello, ${message.author.username}, how may I help you?`
+            content: `Hello, ${message.author.username}, how may I help you?`
         });
     }
 
@@ -125,7 +125,7 @@ client.on('messageCreate', async (message) => {
     // Append user message to conversation history
     conversation.messages.push({
         role: 'user',
-        content: ` ${message.cleanContent}`
+        content: message.cleanContent
     });
 
     try {
@@ -190,10 +190,12 @@ async function generateResponse(conversation) {
         console.log(JSON.stringify(responseData))
         const choice = responseData.choices[0];
 
-        const responseText = choice.message.content
-        
-        return responseText;
-        
+        // Remove "user None:" and any text after it from the response
+        const responseText = choice.message.content.trim();
+        const startIndex = responseText.indexOf('user None:');
+        const sanitizedResponse = startIndex === -1 ? responseText : responseText.substring(0, startIndex);
+
+        return sanitizedResponse;
     } catch (err) {
         throw err;
     } finally {