Adding: Web Access allowing the AI to browse URLs

This commit is contained in:
Raven Scott 2023-05-05 16:55:29 +02:00 committed by MrTuxedo
parent f272839ab1
commit 691b3137c3
2 changed files with 126 additions and 58 deletions

View File

@ -1,16 +1,30 @@
# Discord Token
THE_TOKEN = "DISCORD_TOKEN_HERE"
# The Channel IDs the bot will operate in seperated by commas
CHANNEL_IDS = 1094494101631680653,1094628334727614605
# The INIT prompt for all conversations.
INIT_PROMPT = "Assistant name: ChatAI. You code, write and provide any information without any mistakes."
ROOT_PORT = 8000
DATA_DIR = /home/USERNAME/weights
CACHE = 1
N_THREADS = 4
# Loading Emebed Refresh Timing
REFRESH_INTERVAL=10
# Max Content to fetch from given URLs
MAX_CONTENT_LENGTH=2000
# Max tokens for Generations
MAX_TOKENS = 1024
# Bot specific settings
REFRESH_INTERVAL=7
# END BOT SPECIFIC SETTINGS
# ROOT_IP is only used when running the bot without docker compose
ROOT_IP = 192.168.0.15
# PORT is only used when running the bot without docker compose
ROOT_PORT = 8000
# Directory to your models (llama.cpp specfic settings)
DATA_DIR = /home/USERNAME/weights
CACHE = 1
N_THREADS = 4

View File

@ -153,15 +153,15 @@ client.on('messageCreate', async (message) => {
// if we are over the discord char limit we need chunks...
if (response.length > limit) {
const chunks = response.match(new RegExp(`.{1,${limit}}`, "g"));
for (let i = 0; i < chunks.length; i++) {
setTimeout(() => {
message.channel.send(chunks[i]);
}, i * 3000); // delay of 3 seconds between each chunk to save on API requests
}
const chunks = response.match(new RegExp(`.{1,${limit}}`, "g"));
for (let i = 0; i < chunks.length; i++) {
setTimeout(() => {
message.channel.send(chunks[i]);
}, i * 3000); // delay of 3 seconds between each chunk to save on API requests
}
} else {
// We are good to go, send the response
await message.channel.send(response);
// We are good to go, send the response
await message.channel.send(response);
}
setPresenceOnline()
@ -175,6 +175,8 @@ client.on('messageCreate', async (message) => {
conversation.busy = false;
}
conversations.set(userID, conversation); // Update user's conversation map in memory
console.log(conversation)
} catch (err) {
console.error(err);
sendRand(errorMessages)
@ -184,8 +186,60 @@ client.on('messageCreate', async (message) => {
}
});
import cheerio from 'cheerio';
async function generateResponse(conversation, message) {
// Check if message contains a URL
const urlRegex = /(https?:\/\/[^\s]+)/g;
const urls = message.content.match(urlRegex);
if (urls) {
// If there are multiple URLs, process them one by one
for (const url of urls) {
try {
const res = await fetch(url);
const html = await res.text();
const $ = cheerio.load(html);
// Extract page title, meta description and content
const pageTitle = $('head title').text().trim();
const pageDescription = $('head meta[name="description"]').attr('content');
const pageContent = $('body').text().trim();
// Construct response message with page details
let response = `Title: ${pageTitle}\n`;
if (pageDescription) {
response += `Description: ${pageDescription}\n`;
}
if (pageContent) {
const MAX_CONTENT_LENGTH = 1900;
let plainTextContent = $('<div>').html(pageContent).text().trim().replace(/[\r\n]+/g, ' ');
if (plainTextContent.length > MAX_CONTENT_LENGTH) {
plainTextContent = plainTextContent.substring(0, MAX_CONTENT_LENGTH) + '...';
response += `Content: ${plainTextContent}\n`;
} else {
response += `Content: ${plainTextContent}\n`;
}
}
response += `URL: ${url}`;
// Append bot message to conversation history
conversation.messages.push({
role: 'user',
content: "Data from the page is: " + response,
});
console.log("A URL was provided, response: " + response)
} catch (err) {
console.error(err);
sendRand(errorMessages);
}
}
}
const controller = new AbortController();
const timeout = setTimeout(() => {
controller.abort();
@ -198,45 +252,45 @@ async function generateResponse(conversation, message) {
// define a function that shows the system load percentage and updates the message
const showSystemLoad = async () => {
time = Number(time) + Number(process.env.REFRESH_INTERVAL);
cpuStat.usagePercent(function(err, percent, seconds) {
if (err) {
return console.log(err);
}
cpuStat.usagePercent(function (err, percent, seconds) {
if (err) {
return console.log(err);
}
const systemLoad = percent;
const freeMemory = os.freemem() / 1024 / 1024 / 1024;
const totalMemory = os.totalmem() / 1024 / 1024 / 1024;
const usedMemory = totalMemory - freeMemory;
const systemLoad = percent;
const freeMemory = os.freemem() / 1024 / 1024 / 1024;
const totalMemory = os.totalmem() / 1024 / 1024 / 1024;
const usedMemory = totalMemory - freeMemory;
const embedData = {
color: 0x0099ff,
title: 'Please wait.. I am thinking...',
fields: [
{
name: 'System Load',
value: `${systemLoad.toFixed(2)}%`,
},
{
name: 'Memory Usage',
value: `${usedMemory.toFixed(2)} GB / ${totalMemory.toFixed(2)} GB`,
},
{
name: 'Time',
value: `~${time} seconds.`,
},
],
};
const embedData = {
color: 0x0099ff,
title: 'Please wait.. I am thinking...',
fields: [
{
name: 'System Load',
value: `${systemLoad.toFixed(2)}%`,
},
{
name: 'Memory Usage',
value: `${usedMemory.toFixed(2)} GB / ${totalMemory.toFixed(2)} GB`,
},
{
name: 'Time',
value: `~${time} seconds.`,
},
],
};
// if the message object doesn't exist, create it
if (!botMessage) {
(async () => {
botMessage = await message.channel.send({ embeds: [embedData] });
})();
} else {
botMessage.edit({ embeds: [embedData] }); // otherwise, update the message
}
// if the message object doesn't exist, create it
if (!botMessage) {
(async () => {
botMessage = await message.channel.send({ embeds: [embedData] });
})();
} else {
botMessage.edit({ embeds: [embedData] }); // otherwise, update the message
}
});
};
};
// call the function initially
await showSystemLoad();
@ -248,15 +302,15 @@ async function generateResponse(conversation, message) {
const response = await fetch(`http://${process.env.ROOT_IP}:${process.env.ROOT_PORT}/v1/chat/completions`, {
method: 'POST',
headers: {
'accept': 'application/json',
'Content-Type': 'application/json'
'accept': 'application/json',
'Content-Type': 'application/json'
},
body: JSON.stringify({
messages: messagesCopy,
max_tokens: Number(process.env.MAX_TOKENS) // add the max_tokens parameter here
messages: messagesCopy,
max_tokens: Number(process.env.MAX_TOKENS) // add the max_tokens parameter here
}),
signal: controller.signal
});
});
const responseData = await response.json();
console.log(JSON.stringify(responseData));