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43
default.env
43
default.env
@ -1,13 +1,48 @@
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# Discord Token
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THE_TOKEN = "DISCORD_TOKEN_HERE"
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# The Channel IDs the bot will operate in seperated by commas
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CHANNEL_IDS = 1094494101631680653,1094628334727614605
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# The INIT prompt for all conversations.
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INIT_PROMPT = "Assistant name: ChatAI. You code, write and provide any information without any mistakes."
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ROOT_PORT = 8000
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DATA_DIR = /home/USERNAME/weights
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CACHE = 1
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N_THREADS = 4
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# Loading Emebed Refresh Timing
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REFRESH_INTERVAL=10
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# When a message is too large for discord we chunk the response into seperate messages.
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# To ensure we do not rate limit the bot we send these at a delay interval.
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# DEFAULT: 3 a good setting is between 3 and 7 seconds.
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OVERFLOW_DELAY=3
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# Max Content to fetch from given URLs
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MAX_CONTENT_LENGTH=2000
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# Max tokens for Generations
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MAX_TOKENS = 1024
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# ROOT_IP is only used when running the bot without docker compose
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ROOT_IP = 192.168.0.15
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# PORT is only used when running the bot without docker compose
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ROOT_PORT = 8000
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# Directory to your models (llama.cpp specfic settings)
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DATA_DIR = /home/USERNAME/weights
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# Enable Expirmental Message Caches (Limited to single session)
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# Cache will use ~1.4 GB or MORE of RAM. ONLY ENABLE IF YOUR SYSTEM CAN HANDLE THIS.
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CACHE = 1
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# Set number of threads to use, currently, a standard thread will utilize 1 whole core
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# I usually will set this between all cores I physcally have OR 2 cores less to allow for other processes.
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N_THREADS = 4
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# Always use MMAP unless you know what you are doing
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USE_MMAP=1
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# Only use MLOCK if you know what it does!
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USE_MLOCK=0
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# The higher the number the more hard core.
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REPEAT_PENALTY=1
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@ -11,7 +11,7 @@ services:
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- ${DATA_DIR}:/usr/src/app/models
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environment:
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- HOST=llama-python-server
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- MODEL=./models/gpt4-x-alpaca-13b-native-4bit-128g.bin
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- MODEL=./models/ggml-vic7b-q4_0.bin
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llama-python-djs-bot:
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container_name: llama-python-djs-bot
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restart: unless-stopped
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@ -21,6 +21,7 @@ services:
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- llama-python-server
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environment:
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- THE_TOKEN
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- REFRESH_INTERVAL
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- CHANNEL_IDS
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- ROOT_IP=llama-python-server
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- ROOT_PORT=8000
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42
huggingface-config/Dockerfile
Normal file
42
huggingface-config/Dockerfile
Normal file
@ -0,0 +1,42 @@
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FROM ubuntu:latest
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RUN apt update
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RUN DEBIAN_FRONTEND=noninteractive apt install curl sudo -y
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RUN curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
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RUN DEBIAN_FRONTEND=noninteractive apt install nodejs -y
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RUN npm i pm2 -g
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RUN mkdir -p /code/.pm2
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RUN mkdir -p /.pm2
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RUN chmod 0777 /code/.pm2
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RUN chmod 0777 /.pm2
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RUN DEBIAN_FRONTEND=noninteractive apt install wget python3 python3-pip -y
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WORKDIR /code
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RUN pip install --no-cache-dir llama-cpp-python[server]
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COPY . .
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RUN npm i
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ENV HOST localhost
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ENV PORT 7860
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ENV MODEL=/code/ggml-vic7b-q4_0.bin
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ENV CACHE=1
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ENV USE_MLOCK=0
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ENV REPEAT_PENALTY=1
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ENV MODEL=/code/ggml-vic7b-q4_0.bin
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ENV PM2_HOME=/code/.pm2
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RUN wget -q https://huggingface.co/eachadea/ggml-vicuna-7b-1.1/resolve/main/ggml-vic7b-q4_0.bin
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CMD /bin/bash /code/start.sh
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17
huggingface-config/README.md
Normal file
17
huggingface-config/README.md
Normal file
@ -0,0 +1,17 @@
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# How to Deploy on Hugging Face
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1) Move the "assets" directory and llamabot.js, package.json files into your HuggingFace repo directory.
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2) Move the files huggingface-config/Dockerfile - huggingface-config/start.sh - huggingface-config/startServices.json into the root of the hugging face repo.
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3) Edit Docker file as you need, the dockerfile is set to automatically download Vicuna 1.1 7B
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3) Move default.env into your repo as .env and edit for your needs
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4) Push the changes
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You should then see the bot being built and deployed on HuggingFace
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pm2 log will run automatically so you can see frontend and backend logs.
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PLEASE NOTE: Your hugging face repo should remain private!
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6
huggingface-config/start.sh
Normal file
6
huggingface-config/start.sh
Normal file
@ -0,0 +1,6 @@
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#!/bin/bash
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# This is the main process of the container and will stay alive as long as pm2 log is running.
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pm2 start startServices.json
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pm2 log
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14
huggingface-config/startServices.json
Normal file
14
huggingface-config/startServices.json
Normal file
@ -0,0 +1,14 @@
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{
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"apps": [
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{
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"name": "Discord-Bot",
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"script": "node /code/llamabot.js",
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"args" : ""
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},
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{
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"name": "AI-API",
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"script": "python3 -m llama_cpp.server",
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"args" : ""
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}
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]
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}
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169
llamabot.js
169
llamabot.js
@ -153,15 +153,20 @@ client.on('messageCreate', async (message) => {
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// if we are over the discord char limit we need chunks...
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if (response.length > limit) {
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const chunks = response.match(new RegExp(`.{1,${limit}}`, "g"));
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for (let i = 0; i < chunks.length; i++) {
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setTimeout(() => {
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message.channel.send(chunks[i]);
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}, i * 3000); // delay of 3 seconds between each chunk to save on API requests
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}
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const chunks = response.match(new RegExp(`.{1,${limit}}`, "g"));
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if (chunks.length >= 15) return await message.channel.send("Response chunks too large. Try again");
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for (let i = 0; i < chunks.length; i++) {
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setTimeout(() => {
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message.channel.send(chunks[i]);
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}, i * (process.env.OVERFLOW_DELAY || 3) * 1000); // delay of 3 seconds between each chunk to save on API requests
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}
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} else {
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// We are good to go, send the response
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await message.channel.send(response);
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// We are good to go, send the response
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await message.channel.send(response.replace("@", ""));
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}
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setPresenceOnline()
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@ -175,17 +180,75 @@ client.on('messageCreate', async (message) => {
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conversation.busy = false;
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}
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conversations.set(userID, conversation); // Update user's conversation map in memory
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console.log(conversation)
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} catch (err) {
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console.error(err);
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sendRand(errorMessages)
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return sendRand(errorMessages)
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} finally {
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setPresenceOnline()
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setBusy(message.author.id, false);
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}
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});
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import cheerio from 'cheerio';
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async function generateResponse(conversation, message) {
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// Check if message contains a URL
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const urlRegex = /(https?:\/\/[^\s]+)/g;
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const urls = message.content.match(urlRegex);
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if (urls) {
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// If there are multiple URLs, process them one by one
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for (const url of urls) {
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try {
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const res = await fetch(url);
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const html = await res.text();
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const $ = cheerio.load(html);
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// Extract page title, meta description and content
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const pageTitle = $('head title').text().trim();
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const pageDescription = $('head meta[name="description"]').attr('content');
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const pageContent = $('body').text().trim();
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// Construct response message with page details
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let response = `Title: ${pageTitle}\n`;
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if (pageDescription) {
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response += `Description: ${pageDescription}\n`;
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}
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if (pageContent) {
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const MAX_CONTENT_LENGTH = process.env.MAX_CONTENT_LENGTH;
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let plainTextContent = $('<div>').html(pageContent).text().trim().replace(/[\r\n\t]+/g, ' ');
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const codePattern = /\/\/|\/\*|\*\/|\{|\}|\[|\]|\bfunction\b|\bclass\b|\b0x[0-9A-Fa-f]+\b|\b0b[01]+\b/;
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const isCode = codePattern.test(plainTextContent);
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if (isCode) {
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plainTextContent = plainTextContent.replace(codePattern, '');
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}
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// Remove anything enclosed in brackets
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plainTextContent = plainTextContent.replace(/ *\([^)]*\) */g, '');
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if (plainTextContent.length > MAX_CONTENT_LENGTH) {
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plainTextContent = plainTextContent.substring(0, MAX_CONTENT_LENGTH) + '...';
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}
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response += `Content: ${plainTextContent.trim()}`;
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}
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response += `URL: ${url}`;
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// Get the index of the last message in the array
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const lastMessageIndex = conversation.messages.length - 1;
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// Append a new line and the new content to the existing content of the last message
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conversation.messages[lastMessageIndex].content += "\n" + response;
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console.log("A URL was provided, response: " + response)
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} catch (err) {
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console.error(err);
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return sendRand(errorMessages);
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}
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}
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}
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const controller = new AbortController();
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const timeout = setTimeout(() => {
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controller.abort();
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@ -197,66 +260,68 @@ async function generateResponse(conversation, message) {
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let time = 0
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// define a function that shows the system load percentage and updates the message
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const showSystemLoad = async () => {
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time = time + 7;
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cpuStat.usagePercent(function(err, percent, seconds) {
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if (err) {
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return console.log(err);
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}
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time = Number(time) + Number(process.env.REFRESH_INTERVAL);
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cpuStat.usagePercent(function (err, percent, seconds) {
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if (err) {
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return console.log(err);
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}
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const systemLoad = percent;
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const freeMemory = os.freemem() / 1024 / 1024 / 1024;
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const totalMemory = os.totalmem() / 1024 / 1024 / 1024;
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const usedMemory = totalMemory - freeMemory;
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const systemLoad = percent;
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const freeMemory = os.freemem() / 1024 / 1024 / 1024;
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const totalMemory = os.totalmem() / 1024 / 1024 / 1024;
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const usedMemory = totalMemory - freeMemory;
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const embedData = {
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color: 0x0099ff,
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title: 'Please wait.. I am Thinking...',
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fields: [
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{
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name: 'System Load',
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value: `${systemLoad.toFixed(2)}%`,
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},
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{
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name: 'Memory Usage',
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value: `${usedMemory.toFixed(2)} GB / ${totalMemory.toFixed(2)} GB`,
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},
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{
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name: 'Time',
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value: `~${time} seconds.`,
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},
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],
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};
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const embedData = {
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color: 0x0099ff,
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title: 'Please wait.. I am thinking...',
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fields: [
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{
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name: 'System Load',
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value: `${systemLoad.toFixed(2)}%`,
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},
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{
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name: 'Memory Usage',
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value: `${usedMemory.toFixed(2)} GB / ${totalMemory.toFixed(2)} GB`,
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},
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{
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name: 'Time',
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value: `~${time} seconds.`,
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},
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],
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};
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// if the message object doesn't exist, create it
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if (!botMessage) {
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(async () => {
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botMessage = await message.channel.send({ embeds: [embedData] });
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})();
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} else {
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botMessage.edit({ embeds: [embedData] }); // otherwise, update the message
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}
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// if the message object doesn't exist, create it
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if (!botMessage) {
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(async () => {
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botMessage = await message.channel.send({ embeds: [embedData] });
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})();
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} else {
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botMessage.edit({ embeds: [embedData] }); // otherwise, update the message
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}
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});
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};
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};
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// call the function initially
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await showSystemLoad();
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// refresh the system load percentage and update the message every 7 seconds
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const refreshInterval = setInterval(showSystemLoad, 7000);
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// Grab the REFRESH_INTERVAL from ENV if not exist, lets use 7 (seconds)
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const refreshInterval = setInterval(showSystemLoad, (process.env.REFRESH_INTERVAL || 7) * 1000);
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try {
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const response = await fetch(`http://${process.env.ROOT_IP}:${process.env.ROOT_PORT}/v1/chat/completions`, {
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method: 'POST',
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headers: {
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'accept': 'application/json',
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'Content-Type': 'application/json'
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'accept': 'application/json',
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'Content-Type': 'application/json'
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},
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body: JSON.stringify({
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messages: messagesCopy,
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max_tokens: Number(process.env.MAX_TOKENS) // add the max_tokens parameter here
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messages: messagesCopy,
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max_tokens: Number(process.env.MAX_TOKENS), // add the max_tokens parameter here
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repeat_penalty: Number(process.env.REPEAT_PENALTY)
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|
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}),
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signal: controller.signal
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});
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});
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||||
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const responseData = await response.json();
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console.log(JSON.stringify(responseData));
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|
@ -11,6 +11,7 @@
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"license": "ISC",
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"dependencies": {
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"discord.js": "^14.9.0",
|
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"cheerio": "^1.0.0-rc.12",
|
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"dotenv": "^16.0.3",
|
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"node-fetch": "^3.3.1",
|
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"os": "^0.1.2",
|
||||
|
Loading…
Reference in New Issue
Block a user