This commit is contained in:
Skylar Grant 2024-01-01 14:27:10 -05:00
parent b3e2c9e736
commit ac65c8a7b0
8 changed files with 376 additions and 12 deletions

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@ -4,3 +4,4 @@ STATUS_CHANNEL_ID=
DEBUG=
HEARTBEAT_URL=
BOT_ID=
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@ -11,6 +11,7 @@
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@ -158,6 +159,15 @@
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@ -175,6 +185,28 @@
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@ -207,6 +239,11 @@
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@ -218,6 +255,11 @@
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@ -231,6 +273,33 @@
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@ -260,6 +329,23 @@
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@ -381,6 +467,14 @@
"url": "https://github.com/sponsors/ljharb"
}
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@ -394,6 +488,44 @@
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@ -547,6 +679,14 @@
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@ -599,6 +739,11 @@
"url": "https://github.com/sponsors/ljharb"
}
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"funding": [
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"url": "https://github.com/sponsors/jimmywarting"
},
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@ -781,6 +997,33 @@
"url": "https://github.com/sponsors/ljharb"
}
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"digest-fetch": "^1.3.0",
"form-data-encoder": "1.7.2",
"formdata-node": "^4.3.2",
"node-fetch": "^2.6.7",
"web-streams-polyfill": "^3.2.1"
},
"bin": {
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}
},
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@ -925,6 +1168,11 @@
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@ -19,6 +19,7 @@
"dependencies": {
"discord.js": "^14.9.0",
"dotenv": "^16.0.3",
"string.prototype.replaceall": "^1.0.7"
"string.prototype.replaceall": "^1.0.7",
"openai": "^4.24.1"
}
}

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@ -18,5 +18,25 @@
"status": "📟"
},
"roleIds": {
},
"costs": {
"gpt": {
"gpt-3.5-turbo": 0.2
},
"dalle": {
"256x256": 1.6,
"512x512": 1.8,
"1024x1024": 2.0
}
},
"ai": {
"chatModel": "gpt-3.5-turbo",
"chatPromptCentsPer": 0.15,
"chatPromptUnits": 1000,
"chatResCentsPer": 0.2,
"chatResUnits": 1000,
"imgModel": "dall-e-3",
"imgNumber": 1
},
"temp": {}
}

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@ -9,7 +9,7 @@ const token = process.env.TOKEN;
const fs = require('fs');
const commands = [];
const commandFiles = fs.readdirSync('./slash-commands').filter(file => file.endsWith('.js'));
const commandFiles = fs.readdirSync('./src/slash-commands').filter(file => file.endsWith('.js'));
for (const file of commandFiles) {
const command = require(`../slash-commands/${file}`);

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@ -9,7 +9,11 @@ const https = require('https');
// Discord.js
const Discord = require('discord.js');
const { EmbedBuilder, ActionRowBuilder, ButtonBuilder, ButtonStyle } = Discord;
const { EmbedBuilder } = Discord;
// OpenAI
const OpenAI = require("openai");
const openai = new OpenAI();
// Various imports from other files
const config = require('../data/config.json');
@ -70,9 +74,67 @@ const functions = {
.setDescription(strings.embeds.rules)
.setFooter({ text: strings.embeds.rulesFooter });
return { embeds: [embed], components: [actionRow] };
},
dalle(prompt, imageData) {
const dalleEmbed = new EmbedBuilder()
.setAuthor({ name: "NodBot powered by DALL-E", iconURL: "https://assets.vfsh.dev/openai-logos/PNGs/openai-logomark.png" })
.addFields(
{ name: "Prompt", value: prompt }
)
.setImage(imageData.url)
.setFooter({ text: `Revised Prompt: ${imageData.revPrompt}` })
return { embeds: [dalleEmbed] };
},
gpt(prompt, response, usage) {
const gptEmbed = new EmbedBuilder()
.setAuthor({ name: "NodBot powered by GPT-3.5", iconURL: "https://assets.vfsh.dev/openai-logos/PNGs/openai-logomark.png" })
.setDescription(`**Prompt**\n${prompt}\n\n**Response**\n${response}`)
.setFooter({ text: `This prompt used ${usage.tokens} tokens for a cost of ${usage.usdc}¢. Generated using ${strings.ai.chatModel}` })
return { embeds: [gptEmbed] };
},
generatingResponse() {
const embed = new EmbedBuilder()
.setAuthor({ name: "NodBot powered by OpenAI", iconURL: "https://assets.vfsh.dev/openai-logos/PNGs/openai-logomark.png" })
.setImage("https://media.tenor.com/aHMHzNGCb4kAAAAC/sucks.gif")
.setDescription("Generating a response, please stand by.")
.setFooter({ text: "Ligma balls" });
return { embeds: [embed] };
}
}
},
openAI: {
chatPrompt(userPrompt) {
return new Promise(async (resolve, reject) => {
const response = await openai.chat.completions.create({
messages: [{
role: 'user',
content: userPrompt
}],
model: strings.ai.chatModel
}).catch(e => {
reject(e);
return null;
});
resolve(response);
});
},
imagePrompt(userPrompt, size, userId) {
return new Promise(async (resolve, reject) => {
try {
const response = await openai.images.generate({
model: strings.ai.imgModel,
prompt: userPrompt,
n: strings.ai.imgNumber,
size: "1024x1024"
});
resolve({url: response.data[0].url, revPrompt: response.data[0].revised_prompt});
} catch (e) {
reject(e);
return;
}
});
}
},
async sendHeartbeat(url) {
if (isDev) console.log("Heartbeat Sent: " + url);
https.get(url, async (response) => {
@ -85,6 +147,18 @@ const functions = {
if ( !(parsedData.ok) ) console.error("Heartbeat failed");
});
}).on("error", (error) => console.error(error));
},
generateErrorId() {
const digitCount = 10;
const digits = [];
for (let i = 0; i < digitCount; i++) {
const randBase = Math.random();
const randNumRaw = randBase * 10;
const randNumRound = Math.floor(randNumRaw);
digits.push(randNumRound);
}
const errorId = digits.join("");
return errorId;
}
};

View File

@ -13,7 +13,7 @@ module.exports = {
),
async execute(interaction) {
await interaction.deferReply();
await interaction.editReply(fn.embeds.generatingResponse());
await interaction.editReply(fn.builders.embeds.generatingResponse());
const userPrompt = interaction.options.getString("prompt");
const response = await fn.openAI.chatPrompt(userPrompt).catch(e => console.error(e));
const responseText = response.choices[0].message.content;
@ -22,8 +22,7 @@ module.exports = {
usdc: (response.usage.prompt_tokens * (strings.ai.chatPromptCentsPer / strings.ai.chatPromptUnits)) +
(response.usage.completion_tokens * (strings.ai.chatResCentsPer / strings.ai.chatResUnits))
};
const gptEmbed = fn.embeds.gpt(userPrompt, responseText, usage);
const gptEmbed = fn.builders.embeds.gpt(userPrompt, responseText, usage);
await interaction.editReply(gptEmbed);
fn.upload.openai(interaction.user.id, userPrompt, strings.ai.chatModel, usage.tokens, usage.usdc);
},
};

View File

@ -23,14 +23,13 @@ module.exports = {
async execute(interaction) {
try {
await interaction.deferReply();
await interaction.editReply(fn.embeds.generatingResponse());
await interaction.editReply(fn.builders.embeds.generatingResponse());
const userPrompt = interaction.options.getString("prompt");
const size = interaction.options.getString("size") ? interaction.options.getString("size") : "512x512";
const imageUrl = await fn.openAI.imagePrompt(userPrompt, size);
const dalleEmbed = fn.embeds.dalle(userPrompt, imageUrl, size);
const imageData = await fn.openAI.imagePrompt(userPrompt, size);
const dalleEmbed = fn.builders.embeds.dalle(userPrompt, imageData);
await interaction.editReply(dalleEmbed);
fn.upload.openai(interaction.user.id, userPrompt, "dalle", 0, strings.costs.dalle[size]);
} catch (err) {
const errorId = fn.generateErrorId();
console.error(`${errorId}: ${err}`);