MVP
This commit is contained in:
parent
b3e2c9e736
commit
ac65c8a7b0
@ -4,3 +4,4 @@ STATUS_CHANNEL_ID=
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src/package-lock.json → package-lock.json
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270
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@ -925,6 +1168,11 @@
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/tr46": {
|
||||
"version": "0.0.3",
|
||||
"resolved": "https://registry.npmjs.org/tr46/-/tr46-0.0.3.tgz",
|
||||
"integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="
|
||||
},
|
||||
"node_modules/ts-mixer": {
|
||||
"version": "6.0.3",
|
||||
"resolved": "https://registry.npmjs.org/ts-mixer/-/ts-mixer-6.0.3.tgz",
|
||||
@ -1026,6 +1274,28 @@
|
||||
"resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
|
||||
"integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA=="
|
||||
},
|
||||
"node_modules/web-streams-polyfill": {
|
||||
"version": "3.2.1",
|
||||
"resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.2.1.tgz",
|
||||
"integrity": "sha512-e0MO3wdXWKrLbL0DgGnUV7WHVuw9OUvL4hjgnPkIeEvESk74gAITi5G606JtZPp39cd8HA9VQzCIvA49LpPN5Q==",
|
||||
"engines": {
|
||||
"node": ">= 8"
|
||||
}
|
||||
},
|
||||
"node_modules/webidl-conversions": {
|
||||
"version": "3.0.1",
|
||||
"resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
|
||||
"integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ=="
|
||||
},
|
||||
"node_modules/whatwg-url": {
|
||||
"version": "5.0.0",
|
||||
"resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
|
||||
"integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
|
||||
"dependencies": {
|
||||
"tr46": "~0.0.3",
|
||||
"webidl-conversions": "^3.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/which-boxed-primitive": {
|
||||
"version": "1.0.2",
|
||||
"resolved": "https://registry.npmjs.org/which-boxed-primitive/-/which-boxed-primitive-1.0.2.tgz",
|
@ -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"
|
||||
}
|
||||
}
|
@ -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": {}
|
||||
}
|
@ -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}`);
|
||||
|
@ -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;
|
||||
}
|
||||
};
|
||||
|
||||
|
@ -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);
|
||||
},
|
||||
};
|
@ -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}`);
|
||||
|
Loading…
Reference in New Issue
Block a user