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import * as webllm from "https://esm.run/@mlc-ai/web-llm"; | |
/*************** WebLLM logic ***************/ | |
const messages = [ | |
{ | |
content: "You are a helpful AI agent helping users.", | |
role: "system", | |
}, | |
]; | |
const availableModels = webllm.prebuiltAppConfig.model_list.map( | |
(m) => m.model_id | |
); | |
let selectedModel = "Llama-3.1-8B-Instruct-q4f32_1-MLC-1k"; | |
// Callback function for initializing progress | |
function updateEngineInitProgressCallback(report) { | |
console.log("initialize", report.progress); | |
document.getElementById("download-status").textContent = report.text; | |
} | |
// Create engine instance | |
let modelLoaded = false; | |
const engine = new webllm.MLCEngine(); | |
engine.setInitProgressCallback(updateEngineInitProgressCallback); | |
async function initializeWebLLMEngine() { | |
document.getElementById("download-status").classList.remove("hidden"); | |
selectedModel = document.getElementById("model-selection").value; | |
const config = { | |
temperature: 1.0, | |
top_p: 1, | |
}; | |
await engine.reload(selectedModel, config); | |
modelLoaded = true; | |
} | |
async function streamingGenerating(messages, onUpdate, onFinish, onError) { | |
try { | |
let curMessage = ""; | |
let usage; | |
const completion = await engine.chat.completions.create({ | |
stream: true, | |
messages, | |
stream_options: { include_usage: true }, | |
}); | |
for await (const chunk of completion) { | |
const curDelta = chunk.choices[0]?.delta.content; | |
if (curDelta) { | |
curMessage += curDelta; | |
} | |
if (chunk.usage) { | |
usage = chunk.usage; | |
} | |
onUpdate(curMessage); | |
} | |
const finalMessage = await engine.getMessage(); | |
onFinish(finalMessage, usage); | |
} catch (err) { | |
onError(err); | |
} | |
} | |
/*************** UI logic ***************/ | |
function onMessageSend() { | |
if (!modelLoaded) { | |
return; | |
} | |
const input = document.getElementById("user-input").value.trim(); | |
const message = { | |
content: input, | |
role: "user", | |
}; | |
if (input.length === 0) { | |
return; | |
} | |
document.getElementById("send").disabled = true; | |
messages.push(message); | |
appendMessage(message); | |
document.getElementById("user-input").value = ""; | |
document | |
.getElementById("user-input") | |
.setAttribute("placeholder", "Generating..."); | |
const aiMessage = { | |
content: "typing...", | |
role: "assistant", | |
}; | |
appendMessage(aiMessage); | |
const onFinishGenerating = (finalMessage, usage) => { | |
updateLastMessage(finalMessage); | |
document.getElementById("send").disabled = false; | |
const usageText = | |
`prompt_tokens: ${usage.prompt_tokens}, ` + | |
`completion_tokens: ${usage.completion_tokens}, ` + | |
`prefill: ${usage.extra.prefill_tokens_per_s.toFixed(4)} tokens/sec, ` + | |
`decoding: ${usage.extra.decode_tokens_per_s.toFixed(4)} tokens/sec`; | |
document.getElementById("chat-stats").classList.remove("hidden"); | |
document.getElementById("chat-stats").textContent = usageText; | |
document | |
.getElementById("user-input") | |
.setAttribute("placeholder", "Type a message..."); | |
}; | |
streamingGenerating( | |
messages, | |
updateLastMessage, | |
onFinishGenerating, | |
console.error | |
); | |
} | |
function appendMessage(message) { | |
const chatBox = document.getElementById("chat-box"); | |
const container = document.createElement("div"); | |
container.classList.add("message-container"); | |
const newMessage = document.createElement("div"); | |
newMessage.classList.add("message"); | |
newMessage.textContent = message.content; | |
if (message.role === "user") { | |
container.classList.add("user"); | |
} else { | |
container.classList.add("assistant"); | |
} | |
container.appendChild(newMessage); | |
chatBox.appendChild(container); | |
chatBox.scrollTop = chatBox.scrollHeight; // Scroll to the latest message | |
} | |
function updateLastMessage(content) { | |
const messageDoms = document | |
.getElementById("chat-box") | |
.querySelectorAll(".message"); | |
const lastMessageDom = messageDoms[messageDoms.length - 1]; | |
lastMessageDom.textContent = content; | |
} | |
/*************** UI binding ***************/ | |
availableModels.forEach((modelId) => { | |
const option = document.createElement("option"); | |
option.value = modelId; | |
option.textContent = modelId; | |
document.getElementById("model-selection").appendChild(option); | |
}); | |
document.getElementById("model-selection").value = selectedModel; | |
document.getElementById("download").addEventListener("click", function () { | |
initializeWebLLMEngine().then(() => { | |
document.getElementById("send").disabled = false; | |
}); | |
}); | |
document.getElementById("send").addEventListener("click", function () { | |
onMessageSend(); | |
}); | |
document.getElementById("user-input").addEventListener("keydown", (event) => { | |
if (event.key === "Enter") { | |
onMessageSend(); | |
} | |
}); | |