index.js

require("dotenv").config();
const path = require("path");
const OpenAI = require("openai");
const { Configuration, OpenAIApi } = OpenAI;
const express = require("express");
const bodyParser = require("body-parser");
const cors = require("cors");

const configuration = new Configuration({
  organization: process.env.ORGANIZATION,
  apiKey: process.env.OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);
const app = express();
app.use(bodyParser.json());
app.use(cors());

app.post("/", async (req, res) => {
  try {
    const { message } = req.body;
    const response = await openai.createChatCompletion({
      model: "gpt-3.5-turbo",
      messages: [{ role: "user", content: message }],
    });

    if (response.data && response.data.choices) {
      res.json({ message: response.data.choices[0].message.content });
    } else {
      res.status(400).json({ message: "No response from OpenAI." });
    }
  } catch (error) {
    res.status(500).json({ message: error.message });
  }
});

if (process.env.NODE_ENV === "production") {
  app.use(express.static(path.join(__dirname, "build")));
  app.get("*", (req, res) => {
    res.sendFile(path.resolve(__dirname, "build", "index.html"));
  });
}

const port = process.env.PORT || 5000;
app.listen(port, () => {
  console.log(`Server listening on port ${port}`);
});