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[Example] Add simple-chat-js example
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{ | ||
"./**/*.{js,ts,jsx,tsx,json,css}": ["eslint --fix", "prettier --write"] | ||
"./**/*.{js,ts,jsx,tsx,json}": ["eslint --fix", "prettier --write"] | ||
} |
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body, | ||
html { | ||
font-family: Arial, sans-serif; | ||
padding: 10px 20px; | ||
} | ||
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.download-container { | ||
display: flex; | ||
justify-content: space-between; | ||
margin-bottom: 20px; | ||
} | ||
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#download-status { | ||
border: solid 1px black; | ||
box-shadow: 0 10px 15px -3px rgba(0, 0, 0, .1), 0 4px 6px -2px rgba(0, 0, 0, .05); | ||
padding: 10px; | ||
} | ||
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.chat-container { | ||
height: 400px; | ||
width: 100%; | ||
border: 2px solid black; | ||
display: flex; | ||
flex-direction: column; | ||
} | ||
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.chat-box { | ||
overflow-y: scroll; | ||
background-color: #c3c3c3; | ||
border: 1px solid #ccc; | ||
padding: 5px; | ||
flex: 1 1; | ||
} | ||
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.chat-stats { | ||
background-color: #D3ECEB; | ||
flex: 0 0; | ||
padding: 10px; | ||
font-size: 0.75rem; | ||
} | ||
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.message-container { | ||
width: 100%; | ||
display: flex; | ||
} | ||
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.message { | ||
padding: 10px; | ||
margin: 10px 0; | ||
border-radius: 10px; | ||
width: fit-content; | ||
} | ||
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.message-container.user { | ||
justify-content: end; | ||
} | ||
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.message-container.assistant { | ||
justify-content: start; | ||
} | ||
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.message-container.user .message { | ||
background: #007bff; | ||
color: #fff; | ||
} | ||
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.message-container.assistant .message { | ||
background: #f1f0f0; | ||
color: #333; | ||
} | ||
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.chat-input-container { | ||
min-height: 40px; | ||
flex: 0 0; | ||
display: flex; | ||
} | ||
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#user-input { | ||
width: 70%; | ||
padding: 10px; | ||
border: 1px solid #ccc; | ||
} | ||
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button { | ||
width: 25%; | ||
padding: 10px; | ||
border: none; | ||
background-color: #007bff; | ||
color: white; | ||
cursor: pointer; | ||
} | ||
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button:disabled { | ||
background-color: lightgray; | ||
cursor: not-allowed; | ||
} | ||
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button:hover:not(:disabled) { | ||
background-color: #0056b3; | ||
} | ||
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.hidden { | ||
display: none; | ||
} |
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<!DOCTYPE html> | ||
<html> | ||
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<head> | ||
<title>Simple Chatbot</title> | ||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /> | ||
<meta charset="UTF-8" /> | ||
<link rel="stylesheet" href="./index.css" /> | ||
</head> | ||
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<body> | ||
<p> | ||
Step 1: Initialize WebLLM and Download Model | ||
</p> | ||
<div class="download-container"> | ||
<select id="model-selection"></select> | ||
<button id="download"> | ||
Download | ||
</button> | ||
</div> | ||
<p id="download-status" class="hidden"></p> | ||
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<p> | ||
Step 2: Chat | ||
</p> | ||
<div class="chat-container"> | ||
<div id="chat-box" class="chat-box"></div> | ||
<div id="chat-stats" class="chat-stats hidden"></div> | ||
<div class="chat-input-container"> | ||
<input type="text" id="user-input" placeholder="Type a message..." /> | ||
<button id="send" disabled>Send</button> | ||
</div> | ||
</div> | ||
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<script src="./index.js" type="module"></script> | ||
</body> | ||
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</html> |
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import * as webllm from "https://esm.run/@mlc-ai/web-llm"; | ||
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/*************** WebLLM logic ***************/ | ||
const messages = [ | ||
{ | ||
content: "You are a helpful AI agent helping users.", | ||
role: "system", | ||
}, | ||
]; | ||
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const availableModels = webllm.prebuiltAppConfig.model_list.map( | ||
(m) => m.model_id, | ||
); | ||
let selectedModel = "TinyLlama-1.1B-Chat-v0.4-q4f32_1-1k"; | ||
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// Callback function for initializing progress | ||
function updateEngineInitProgressCallback(report) { | ||
console.log("initialize", report.progress); | ||
document.getElementById("download-status").textContent = report.text; | ||
} | ||
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// Create engine instance | ||
const engine = new webllm.MLCEngine(); | ||
engine.setInitProgressCallback(updateEngineInitProgressCallback); | ||
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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); | ||
} | ||
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async function streamingGenerating(messages, onUpdate, onFinish, onError) { | ||
try { | ||
let curMessage = ""; | ||
const completion = await engine.chat.completions.create({ | ||
stream: true, | ||
messages, | ||
}); | ||
for await (const chunk of completion) { | ||
const curDelta = chunk.choices[0].delta.content; | ||
if (curDelta) { | ||
curMessage += curDelta; | ||
} | ||
onUpdate(curMessage); | ||
} | ||
const finalMessage = await engine.getMessage(); | ||
onFinish(finalMessage); | ||
} catch (err) { | ||
onError(err); | ||
} | ||
} | ||
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/*************** UI logic ***************/ | ||
function onMessageSend() { | ||
const input = document.getElementById("user-input").value.trim(); | ||
const message = { | ||
content: input, | ||
role: "user", | ||
}; | ||
if (input.length === 0) { | ||
return; | ||
} | ||
document.getElementById("send").disabled = true; | ||
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messages.push(message); | ||
appendMessage(message); | ||
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document.getElementById("user-input").value = ""; | ||
document | ||
.getElementById("user-input") | ||
.setAttribute("placeholder", "Generating..."); | ||
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const aiMessage = { | ||
content: "typing...", | ||
role: "assistant", | ||
}; | ||
appendMessage(aiMessage); | ||
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const onFinishGenerating = (finalMessage) => { | ||
updateLastMessage(finalMessage); | ||
document.getElementById("send").disabled = false; | ||
engine.runtimeStatsText().then((statsText) => { | ||
document.getElementById("chat-stats").classList.remove("hidden"); | ||
document.getElementById("chat-stats").textContent = statsText; | ||
}); | ||
}; | ||
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streamingGenerating( | ||
messages, | ||
updateLastMessage, | ||
onFinishGenerating, | ||
console.error, | ||
); | ||
} | ||
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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; | ||
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if (message.role === "user") { | ||
container.classList.add("user"); | ||
} else { | ||
container.classList.add("assistant"); | ||
} | ||
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container.appendChild(newMessage); | ||
chatBox.appendChild(container); | ||
chatBox.scrollTop = chatBox.scrollHeight; // Scroll to the latest message | ||
} | ||
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function updateLastMessage(content) { | ||
const messageDoms = document | ||
.getElementById("chat-box") | ||
.querySelectorAll(".message"); | ||
const lastMessageDom = messageDoms[messageDoms.length - 1]; | ||
lastMessageDom.textContent = content; | ||
} | ||
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/*************** 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(); | ||
}); |
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6 changes: 3 additions & 3 deletions
6
examples/simple-chat/src/gh-config.js → examples/simple-chat-ts/src/gh-config.js
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import { prebuiltAppConfig } from "@mlc-ai/web-llm"; | ||
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export default { | ||
"model_list": prebuiltAppConfig.model_list, | ||
"use_web_worker": true | ||
} | ||
model_list: prebuiltAppConfig.model_list, | ||
use_web_worker: true, | ||
}; |
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