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import { prebuiltAppConfig, CreateMLCEngine } from "@charliefruan/web-llm";
import hljs from "highlight.js";
import ace from "ace-builds";
// Required for ace to resolve the module correctly
require("ace-builds/src-noconflict/mode-javascript");
require("ace-builds/webpack-resolver");
// DO NOT REMOVE
// Required for user input type definition to be eval
const { Type } = require("@sinclair/typebox");
let engine = null;
let useCustomGrammar = false;
document.addEventListener("DOMContentLoaded", () => {
// Ensure elements are loaded before using them
const grammarSelection = document.getElementById("grammar-selection");
const ebnfContainer = document.getElementById("ebnf-grammar-container");
const schemaContainer = document.getElementById("schema-container");
const modelSelection = document.getElementById("model-selection");
const ebnfTextarea = document.getElementById("ebnf-grammar");
const promptTextarea = document.getElementById("prompt");
const outputDiv = document.getElementById("output");
const statsParagraph = document.getElementById("stats");
// Handle grammar selection changes
grammarSelection.onchange = (ev) => {
console.log("Grammar selection changed:", ev.target.value);
if (ev.target.value === "json") {
ebnfContainer.classList.add("hidden");
schemaContainer.classList.remove("hidden");
useCustomGrammar = false;
} else {
ebnfContainer.classList.remove("hidden");
schemaContainer.classList.add("hidden");
useCustomGrammar = true;
}
};
// Populate model selection dropdown
const availableModels = prebuiltAppConfig.model_list
.filter(
(m) =>
m.model_id.startsWith("Qwen2.5-0.5B-Instruct") ||
m.model_id.startsWith("Qwen2.5-1.5B-Instruct") ||
m.model_id.startsWith("Llama-3") ||
m.model_id.startsWith("Hermes-2") ||
m.model_id.startsWith("Hermes-3") ||
m.model_id.startsWith("Phi-3")
)
.map((m) => m.model_id);
let selectedModel = availableModels[0];
availableModels.forEach((modelId) => {
const option = document.createElement("option");
option.value = modelId;
option.textContent = modelId;
modelSelection.appendChild(option);
});
modelSelection.value = selectedModel;
modelSelection.onchange = (e) => {
selectedModel = e.target.value;
engine = null; // Reset the engine when the model changes
};
// Editors setup with Ace
const jsonSchemaEditor = ace.edit("schema", {
mode: "ace/mode/javascript",
theme: "ace/theme/github",
wrap: true,
});
jsonSchemaEditor.setTheme("ace/theme/github");
jsonSchemaEditor.setValue(`Type.Object({
"name": Type.String(),
"house": Type.Enum({
"Gryffindor": "Gryffindor",
"Hufflepuff": "Hufflepuff",
"Ravenclaw": "Ravenclaw",
"Slytherin": "Slytherin",
}),
"blood_status": Type.Enum({
"Pure-blood": "Pure-blood",
"Half-blood": "Half-blood",
"Muggle-born": "Muggle-born",
}),
"occupation": Type.Enum({
"Student": "Student",
"Professor": "Professor",
"Ministry of Magic": "Ministry of Magic",
"Other": "Other",
}),
"wand": Type.Object({
"wood": Type.String(),
"core": Type.String(),
"length": Type.Number(),
}),
"alive": Type.Boolean(),
"patronus": Type.String(),
})`);
const grammarEditor = ace.edit("ebnf-grammar", {
theme: "ace/theme/github",
wrap: true,
});
grammarEditor.setTheme("ace/theme/github");
grammarEditor.setValue(String.raw`main ::= basic_array | basic_object
basic_any ::= basic_number | basic_string | basic_boolean | basic_null | basic_array | basic_object
basic_integer ::= ("0" | "-"? [1-9] [0-9]*) ".0"?
basic_number ::= ("0" | "-"? [1-9] [0-9]*) ("." [0-9]+)? ([eE] [+-]? [0-9]+)?
basic_string ::= (([\"] basic_string_1 [\"]))
basic_string_1 ::= "" | [^"\\\x00-\x1F] basic_string_1 | "\\" escape basic_string_1
escape ::= ["\\/bfnrt] | "u" [A-Fa-f0-9] [A-Fa-f0-9] [A-Fa-f0-9] [A-Fa-f0-9]
basic_boolean ::= "true" | "false"
basic_null ::= "null"
basic_array ::= "[" ("" | ws basic_any (ws "," ws basic_any)*) ws "]"
basic_object ::= "{" ("" | ws basic_string ws ":" ws basic_any ( ws "," ws basic_string ws ":" ws basic_any)*) ws "}"
ws ::= [\n\t]*`);
// Set initial prompt
promptTextarea.value = `Hermione Granger is a character in Harry Potter. Please fill in the following information about this character in JSON format.
Name is a string of character name.
House is one of Gryffindor, Hufflepuff, Ravenclaw, Slytherin.
Blood status is one of Pure-blood, Half-blood, Muggle-born.
Occupation is one of Student, Professor, Ministry of Magic, Other.
Wand is an object with wood, core, and length.
Alive is a boolean.
Patronus is a string.
`;
// Generate button click handler
document.getElementById("generate").onclick = async () => {
if (!engine) {
engine = await CreateMLCEngine(selectedModel, {
initProgressCallback: (progress) => {
console.log(progress);
outputDiv.textContent = progress.text;
},
});
}
let response_format = { type: "grammar", grammar: grammarEditor.getValue() };
if (!useCustomGrammar) {
const schemaInput = jsonSchemaEditor.getValue();
let T;
try {
T = eval(schemaInput);
} catch (e) {
console.error("Invalid schema", e);
return;
}
const schema = JSON.stringify(T);
response_format = { type: "json_object", schema }
}
console.log(response_format);
const request = {
stream: true,
stream_options: { include_usage: true },
messages: [{ role: "user", content: promptTextarea.value }],
max_tokens: 512,
response_format,
};
let curMessage = "";
let usage = null;
const generator = await engine.chatCompletion(request);
for await (const chunk of generator) {
const curDelta = chunk.choices[0]?.delta.content;
if (curDelta) curMessage += curDelta;
if (chunk.usage) usage = chunk.usage;
outputDiv.textContent = curMessage;
}
const finalMessage = await engine.getMessage();
outputDiv.innerHTML = hljs.highlight(finalMessage, {
language: "json",
}).value;
if (usage) {
const statsTextParts = [];
console.log(usage);
if (usage.extra.prefill_tokens_per_s) {
statsTextParts.push(`Prefill Speed: ${usage.extra.prefill_tokens_per_s.toFixed(
1
)} tok/s`);
}
if (usage.extra.decode_tokens_per_s) {
statsTextParts.push(`Decode Speed: ${usage.extra.decode_tokens_per_s.toFixed(
1
)} tok/s`);
}
if (usage.extra.time_per_output_token_s) {
statsTextParts.push(`Time Per Output Token: ${(1000 * usage.extra.time_per_output_token_s).toFixed(
0
)} ms`);
}
if (usage.extra.time_to_first_token_s) {
statsTextParts.push(`Time to First Token: ${(1000 * usage.extra.time_to_first_token_s).toFixed(
0
)} ms`);
}
if (usage.extra.grammar_init_s) {
statsTextParts.push(`Grammar Init Overhead: ${(1000 * usage.extra.grammar_init_s).toFixed(
0
)} ms`);
}
if (usage.extra.grammar_per_token_s) {
statsTextParts.push(`Grammar Per-token Overhead: ${(1000 * usage.extra.grammar_per_token_s).toFixed(
2
)} ms`);
}
statsParagraph.textContent = statsTextParts.join(", ");
statsParagraph.classList.remove("hidden");
}
};
});
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