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revert c75a820585

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revert Update events/messageCreate.js
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ShadowVR 2024-06-02 02:04:15 -04:00
parent c75a820585
commit 4c57a66a97
1 changed files with 61 additions and 39 deletions
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100
events/messageCreate.js
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@ -11,6 +11,7 @@ const { moderation } = require('../configs/moderation');
const { chatbot } = require('../configs/chatbot');
const conversations = new Map();
const { EmbedBuilder } = require('discord.js');
const { exec } = require('child_process');
// Load the knowledge from the completion.txt file
const knowledge = fs.readFileSync(path.join(__dirname, '../utils/prompts/completion.txt'), 'utf-8');
@ -324,58 +325,79 @@ if (chatbot.State && (chatbot.AllowedChannels.includes(message.channel.name) ||
fullAnswer += part.choices[0]?.delta?.content || '';
}
if (!fullAnswer.includes('@everyone') && !fullAnswer.includes('@here') && !fullAnswer.includes('@')) {
const fs = require('fs');
// Function to restart the bot
function restartBot() {
console.log("Restarting bot...");
process.exit(0); // Exits the current process, assuming your process manager restarts the bot
}
// Function to restart the bot
function restartBot() {
console.log("Restarting bot...");
process.exit(0); // Exits the current process, assuming your process manager restarts the bot
}
// Function to save conversation for self-learning
function saveConversation(conversation) {
// Implement the logic to save the conversation
// For example, you can write it to a file or a database
const data = JSON.stringify(conversation, null, 2);
fs.appendFileSync('conversations.json', data + ',\n');
}
// Before sending the response, check for mentions
if (!fullAnswer.includes('@everyone') && !fullAnswer.includes('@here') && !fullAnswer.includes('@')) {
if (fullAnswer.length <= 2000) {
await message.channel.send(fullAnswer);
} else if (fullAnswer.length <= 4096) {
const embed = new EmbedBuilder()
.setTitle('Response from GPT-4o')
.setDescription(fullAnswer.substring(0, 4096)) // Embed description has a 4096 character limit
.setColor('#0099ff');
await message.channel.send({ embeds: [embed] });
} else {
// Function to split the fullAnswer into chunks of 4096 characters
const splitIntoChunks = (str, chunkSize) => {
const chunks = [];
for (let i = 0; i < str.length; i += chunkSize) {
chunks.push(str.slice(i, i + chunkSize));
}
return chunks;
};
// Save the full answer to a .txt file
fs.writeFileSync('response.txt', fullAnswer);
const chunks = splitIntoChunks(fullAnswer, 4096);
// Send the .txt file
await message.channel.send({
files: [{
attachment: 'response.txt',
name: 'response.txt'
}]
});
// Send each chunk as an embed
for (const chunk of chunks) {
const embed = new EmbedBuilder()
.setTitle('Response from GPT-4o')
.setDescription(chunk)
.setColor('#0099ff');
await message.channel.send({ embeds: [embed] });
}
// Exit the process to trigger a restart
process.exit(0);
// Restart the bot
restartBot();
}
}
// Save the conversation for self-learning
const conversation = {
user: message.author.id,
userMessage: question,
botResponse: fullAnswer
};
saveConversation(conversation);
// Save the conversation for self-learning
const conversation = {
user: message.author.id,
userMessage: question,
botResponse: fullAnswer
};
saveConversation(conversation);
conversations.set(message.author.id, messages.concat([{ "role": "assistant", "content": fullAnswer }]));
conversations.set(message.author.id, messages.concat([{ "role": "assistant", "content": fullAnswer }]));
} catch (error) {
console.error(chalk.bold.redBright(error));
} catch (error) {
console.error(chalk.bold.redBright(error));
if (error.response) {
await message.reply(error.response.error.message.substring(0, 2000));
} else if (error.message) {
await message.reply(error.message.substring(0, 2000));
}
}
}
if (error.response) {
await message.reply(error.response.error.message.substring(0, 2000));
} else if (error.message) {
await message.reply(error.message.substring(0, 2000));
}
}
}
}
}
// Command Handler
if (message.content.toLowerCase().startsWith(config.Prefix)) {