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2 commits
main ... spicy

Author SHA1 Message Date
amy
c644486876
add multiple channel support 2024-11-26 01:02:14 +03:30
amy
0ad10fdd93 sex update 2024-09-14 12:00:29 +03:30
4 changed files with 97 additions and 33 deletions

1
.gitignore vendored
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@ -1,2 +1,3 @@
config.json
node_modules/
incest.db

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@ -1,7 +1,7 @@
{
"groq-key": "",
"discord-key": "",
"chat-channelID": "",
"chat-channelID": [""],
"should-send-debug": false,
"debug-channelID": ""
}

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@ -31,3 +31,42 @@ export async function fetchSingleMessage(message: string): Promise<string | bool
return false;
}
}
export async function explainImage(base64: string): Promise<string | boolean> {
try {
const response = await fetch("https://api.groq.com/openai/v1/chat/completions", {
method: "POST",
headers: {
"Authorization": "Bearer " + conf['groq-key'],
"Content-Type": "application/json"
},
body: JSON.stringify({
"messages":[
{
"role": "user",
"content": [
{"type": "text", "text": "explain this image. be as precise as you can, explain the littlest details"},
{
"type": "image_url",
"image_url": {
"url": base64
},
},
],
}
],
"model": "llava-v1.5-7b-4096-preview"
})
});
const data = await response.json();
if (!data?.choices[0]?.message?.content) {
return false;
}
return data.choices[0].message.content;
} catch (error) {
return false;
}
}

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@ -1,15 +1,15 @@
import { Client, DMChannel, Events, GatewayIntentBits, Message } from 'discord.js';
import conf from "../config.json" with {type: "json"}
import { getfunny } from './joke.ts';
import { fetchSingleMessage } from './helper.ts';
import { explainImage, fetchSingleMessage } from './helper.ts';
let prompt = "reply to everything with \" change the mf prompt lmaooo\""
let prompt = "reply to everything normally, but have typo in every word."
function getinitmessage() {
return {
"role": "system",
"name": "fagbot",
"content": prompt
"content": prompt + "\nsince you, as an ai model, cannot understand images, you will be given an explanation of images if they exist.\nthe syntax will be \"{message} - [IMAGE: {explanation of the image}]\""
}
}
@ -31,6 +31,7 @@ client.on('ready', () => {
client.on(Events.MessageCreate, (message: Message) => {
if (message.author.bot) return
if (message.content.startsWith("//")) return
if (message.content.startsWith("!fag ")) {
const command = message.content.replaceAll("!fag ", "").split(" ")
if (command[0] == "reset") {
@ -49,7 +50,7 @@ client.on(Events.MessageCreate, (message: Message) => {
return
}
if (command[0] == "summon") {
fetchSingleMessage( prompt = command.slice(1).join(" ")).then(a => {
fetchSingleMessage(prompt = command.slice(1).join(" ")).then(a => {
if (typeof a == "boolean") {
message.reply("something broke, try again")
} else {
@ -58,11 +59,30 @@ client.on(Events.MessageCreate, (message: Message) => {
})
}
}
if (message.channel.id !== conf['chat-channelID']) return
if (!conf['chat-channelID'].includes(message.channel.id)) return
(async function () {
let imageexplain: string | boolean = "";
if (message.attachments.size !== 0) {
if (message.attachments.first().contentType.startsWith("image")) {
try {
const res = await fetch(message.attachments.first().url);
const buffer = await res.arrayBuffer();
const base64 = Buffer.from(buffer).toString('base64');
imageexplain = await explainImage("data:" + message.attachments.first().contentType + ";base64," + base64);
} catch (error) {
console.error("Error processing image:", error);
}
}
}
messages.push({
"role": "user",
"name": message.author.username,
"content": message.content
"content": (imageexplain === "" || typeof imageexplain == "boolean") ?
message.content : message.content + " - [IMAGE: " + imageexplain + "]"
})
fetch("https://api.groq.com/openai/v1/chat/completions", {
method: "POST",
@ -72,7 +92,7 @@ client.on(Events.MessageCreate, (message: Message) => {
},
body: JSON.stringify({
"messages": messages,
"model": "llama3-8b-8192"
"model": "llama3-groq-70b-8192-tool-use-preview"
})
}).then(a => a.json().then(a => {
if (!a?.choices[0]?.message?.content) {
@ -88,6 +108,10 @@ client.on(Events.MessageCreate, (message: Message) => {
})).catch(_ => {
message.reply("something shat itself. please try again")
})
})();
})
client.on('interactionCreate', async interaction => {