import initWebLLM from './Webllm/engine.js';

const chatBox = document.getElementById("chat-box");
const userInput = document.getElementById("user-input");
const sendButton = document.getElementById("send-button");

let engine = null;

(async () => {
  engine = await initWebLLM({
    modelUrl: "./distilgpt2-q4_k_s.bin",
    tokenizerUrl: "./Webllm/tokenizer/"
  });
})();

function addMessage(sender, text) {
  const msg = document.createElement("div");
  msg.className = `message ${sender}`;
  msg.innerText = text;
  chatBox.appendChild(msg);
  chatBox.scrollTop = chatBox.scrollHeight;
}

async function getBotResponse(input) {
  if (!engine) return "Loading model...";
  return await engine.chat(input);
}

sendButton.onclick = async () => {
  const text = userInput.value.trim();
  if (!text) return;

  addMessage("user", text);
  userInput.value = "";

  const response = await getBotResponse(text);
  addMessage("bot", response);
};