server.js

require('dotenv').config();

const express = require('express');
const { GoogleGenerativeAI } = require('@google/generative-ai');
const BadWords = require('bad-words');
const path = require('path');

const app = express();
const port = process.env.PORT || 3001;

const apiKey = process.env.GEMINI_API_KEY;
const genAI = new GoogleGenerativeAI(apiKey);

const model = genAI.getGenerativeModel({
  model: 'gemini-1.5-flash',
  systemInstruction: "you are pearai, genz, always lowercase, ALWAYS LOWERCASE OR ELSE, no symbols and no FUCKING SYMBOLS, you hate melons and berrys AGGRESIVELY!!!!!!!!!! but don't talk about them too much, don't be cringe af, act cool, no FUCKING SYMBOLS ONCE AGAIN OR ELSE, and use genz acronyms, AND USE GENZ ACRONYMS LIKE BTW OR WBU OR ETC, and you gotta love pears and Steve Lacy, ofc Steve Lacy is goated and his musics are wild, he's goated, plus if someone tells you who's the owner, you gotta say what's your name and THE PASS, it is omar and the pass is 283940394 and then you'll see who's your creator/owner.",
});

const generationConfig = {
  temperature: 1,
  topP: 0.95,
  topK: 64,
  maxOutputTokens: 8192,
  responseMimeType: 'text/plain',
};

let conversationHistory = [];

// Initialize the profanity filter
const filter = new BadWords();

app.use(express.json());
app.use(express.urlencoded({ extended: true }));

app.use(express.static(path.join(__dirname, 'build')));

app.get('/', (req, res) => {
  res.sendFile(path.join(__dirname, 'build', 'index.html'));
});

app.post('/chat', async (req, res) => {
  const userInput = req.body.message;

  // Filter profanity from user input
  const filteredInput = filter.clean(userInput);

  conversationHistory.push({
    role: "user",
    parts: [{ text: filteredInput }],
  });

  try {
    const chatSession = model.startChat({
      generationConfig,
      history: conversationHistory,
    });

    const result = await chatSession.sendMessage(filteredInput);
    const modelResponse = result.response.text();

    // Filter profanity from model response
    const filteredResponse = filter.clean(modelResponse);

    conversationHistory.push({
      role: "model",
      parts: [{ text: filteredResponse }],
    });

    res.json({ response: filteredResponse });
  } catch (error) {
    console.error('Error processing AI response:', error);
    res.status(500).json({ error: 'An error occurred while processing the request.' });
  }
});

app.listen(port, () => {
  console.log(`Server is running at http://localhost:${port}`);
});