Spaces:
Running
Running
File size: 4,409 Bytes
36784c4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 |
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_1-1k";
// Callback function for initializing progress
function updateEngineInitProgressCallback(report) {
console.log("initialize", report.progress);
document.getElementById("download-status").textContent = report.text;
}
// Create engine instance
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);
}
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() {
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;
};
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();
});
|