Movie Recommendation System with Node and Express.js

// public/script.js

document.addEventListener("DOMContentLoaded", () => {
    const recommendBtn = document.getElementById("recommendBtn");
    const userInput = document.getElementById("userInput");
    const recommendationDiv = document.getElementById("recommendation");
    const loaderDiv = document.getElementById("loader");

    recommendBtn.addEventListener("click", async () => {
        const inputText = userInput.value.trim();

        if (inputText === "") {
            alert("Please enter your preferences.");
            return;
        }

        // Show loader
        loaderDiv.style.display = "block";

        try {
            const response = await axios.get
                (`/recommend?input=${inputText}`);
            const recommendedMovie = marked.parse(response.data);

            if (recommendedMovie) {
                recommendationDiv.innerHTML = `
                      <h3>Recommended Movie:</h3>
                      <p>${recommendedMovie}</p>
                  `;
            } else {
                recommendationDiv.innerHTML = `
                      <p>No Movie recommendation available.</p>
                  `;
            }
        } catch (error) {
            console.error(error);
            recommendationDiv.innerHTML = `
                  <p>An error occurred while fetching Movie recommendation.</p>
              `;
        } finally {
            // Hide loader
            loaderDiv.style.display = "none";
        }
    });
});

//server.js

const express = require("express");
const axios = require("axios");
const dotenv = require("dotenv");
const { OpenAI } = require("openai");

dotenv.config();

const app = express();
const PORT = process.env.PORT || 3000;
const OPENAI_API_KEY = process.env.OPENAI_API_KEY;

const openai = new OpenAI({ apiKey: OPENAI_API_KEY });

app.use(express.static("public"));

app.get("/recommend", async (req, res) => {
    try {
        const userInput = req.query.input;
        const completion = await openai.chat.completions.create({
            messages: [
                { role: "system", content: "You are helpful in recommending Movies." },
                { role: "user", content: userInput + "\n list out all Movies" },
            ],
            model: "gpt-3.5-turbo",
        });
        const recommendedMovie = completion.choices[0].message.content;
        res.send(recommendedMovie);
    } catch (error) {
        console.error(error);
        res.status(500).send("An error occurred while processing your request.");
    }
});

app.listen(PORT, () => {
    console.log(`Server is running on port ${PORT}`);
});