Instructions to use yummyfiles/Bob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use yummyfiles/Bob with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'yummyfiles/Bob');
File size: 10,734 Bytes
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const MODEL_ID = 'Xenova/tinyllama-1.1b-chat-v1.0';
const inputEl = document.getElementById('input');
const chatEl = document.getElementById('chat');
const executeBtn = document.getElementById('execute');
const statusEl = document.getElementById('status');
const chatListEl = document.getElementById('chat-list');
const newChatBtn = document.getElementById('new-chat-btn');
const chatTitleEl = document.getElementById('chat-title');
const sidebar = document.getElementById('sidebar');
const sidebarOverlay = document.getElementById('sidebar-overlay');
const menuBtn = document.getElementById('menu-btn');
let generator = null;
let isLoading = false;
let currentChatId = null;
let chats = JSON.parse(localStorage.getItem('bob_chats') || '{}');
const customTools = {
get_crypto_price: async (symbol) => {
try {
const response = await fetch(`https://api.coingecko.com/api/v3/simple/price?ids=${symbol.toLowerCase()}&vs_currencies=usd`);
const data = await response.json();
if (data[symbol.toLowerCase()]) return `$${data[symbol.toLowerCase()].usd.toLocaleString()}`;
return `Price unavailable for ${symbol}`;
} catch { return `Error fetching price for ${symbol}`; }
},
multiply_numbers: (a, b) => a * b
};
function saveChats() { localStorage.setItem('bob_chats', JSON.stringify(chats)); }
function createChat() {
const id = Date.now().toString();
chats[id] = { id, title: 'New Chat', messages: [], created: Date.now(), updated: Date.now() };
saveChats();
return id;
}
function deleteChat(id) { delete chats[id]; saveChats(); renderChatList(); }
function switchChat(id) {
currentChatId = id;
renderChatList();
renderChat();
sidebar.classList.remove('open');
sidebarOverlay.classList.remove('open');
}
function updateChatTitle(id, title) {
if (chats[id]) { chats[id].title = title; chats[id].updated = Date.now(); saveChats(); renderChatList(); }
}
function renderChatList() {
const sorted = Object.values(chats).sort((a, b) => b.updated - a.updated);
if (sorted.length === 0) {
chatListEl.innerHTML = '<div class="empty-chats">No chats yet.<br>Click "NEW CHAT" to start.</div>';
return;
}
chatListEl.innerHTML = sorted.map(c => `
<div class="chat-item ${c.id === currentChatId ? 'active' : ''}" data-id="${c.id}">
<div class="chat-item-title">${escapeHtml(c.title)}</div>
<div class="chat-item-preview">${escapeHtml(c.messages[0]?.content?.slice(0, 40) || '')}</div>
<div class="chat-item-time">${new Date(c.updated).toLocaleString()}</div>
</div>
`).join('');
chatListEl.querySelectorAll('.chat-item').forEach(el => {
el.addEventListener('click', () => switchChat(el.dataset.id));
});
}
function escapeHtml(s) { return s.replace(/[&<>]/g, c => ({"&":"&","<":"<",">":">"}[c])); }
function renderChat() {
if (!currentChatId || !chats[currentChatId]) { showWelcome(); return; }
const chat = chats[currentChatId];
chatTitleEl.textContent = chat.title;
chatEl.innerHTML = '';
if (chat.messages.length === 0) { showWelcome(); return; }
chat.messages.forEach(msg => appendMessage(msg.role, msg.content, false));
chatEl.scrollTop = chatEl.scrollHeight;
}
function showWelcome() {
chatTitleEl.textContent = currentChatId ? chats[currentChatId]?.title || 'New Chat' : 'Select a chat or start new';
chatEl.innerHTML = `
<div class="welcome">
<h2>BOB</h2>
<p>Local-first AI running 100% in your browser via WebAssembly.<br>No servers. No cloud. No tracking.</p>
<div class="hint">Ctrl+Enter to send · Try "What's Bitcoin price?" or "Multiply 144 by 37"</div>
</div>
`;
}
function appendMessage(role, content, save = true) {
if (chatEl.querySelector('.welcome')) chatEl.innerHTML = '';
const wrapper = document.createElement('div');
wrapper.className = `message ${role}`;
const label = document.createElement('div');
label.className = 'message-label';
label.textContent = role === 'user' ? 'YOU' : 'BOB';
wrapper.appendChild(label);
const contentDiv = document.createElement('div');
contentDiv.className = 'message-content';
contentDiv.textContent = content;
wrapper.appendChild(contentDiv);
chatEl.appendChild(wrapper);
chatEl.scrollTop = chatEl.scrollHeight;
if (save && currentChatId && chats[currentChatId]) {
chats[currentChatId].messages.push({ role, content, time: Date.now() });
chats[currentChatId].updated = Date.now();
if (chats[currentChatId].messages.length === 1) {
chats[currentChatId].title = content.slice(0, 40);
}
saveChats();
renderChatList();
}
}
function appendToolResult(toolName, result) {
const div = document.createElement('div');
div.className = 'message tool-result';
div.textContent = `[TOOL: ${toolName} => ${result}]`;
chatEl.appendChild(div);
chatEl.scrollTop = chatEl.scrollHeight;
}
async function initModel() {
if (generator) return generator;
isLoading = true;
executeBtn.disabled = true;
executeBtn.textContent = 'LOADING...';
statusEl.textContent = `Loading ${MODEL_ID}... (first run downloads ~600MB)`;
try {
generator = await pipeline('text-generation', MODEL_ID, {
dtype: 'q4',
progress_callback: (progress) => {
if (progress.status === 'downloading') {
const mb = (progress.loaded / 1024 / 1024).toFixed(1);
const totalMb = (progress.total / 1024 / 1024).toFixed(1);
statusEl.textContent = `Downloading: ${mb} / ${totalMb} MB`;
} else if (progress.status === 'progress') {
statusEl.textContent = `Initializing: ${Math.round(progress.progress * 100)}%`;
}
}
});
statusEl.textContent = 'Ready. Model loaded locally.';
} catch (err) { statusEl.textContent = `Error: ${err.message}`; console.error(err); }
finally { isLoading = false; executeBtn.disabled = false; executeBtn.textContent = 'SEND'; }
return generator;
}
function formatPrompt(userInput, history = []) {
let prompt = `<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are Bob, a local AI assistant running in the browser. You have access to tools. When you need to use a tool, respond with EXACTLY this format:
<call_tool>function_name({"arg": "value"})</call_tool>
Available tools:
- get_crypto_price: Get crypto price. Args: {"symbol": "BTC"}
- multiply_numbers: Multiply two numbers. Args: {"a": 5, "b": 10}
Only call tools when needed. Respond normally for regular questions.
<|eot_id|>`;
for (const msg of history.slice(-6)) {
prompt += `<|start_header_id|>${msg.role}<|end_header_id|>\n${msg.content}<|eot_id|>`;
}
prompt += `<|start_header_id|>user<|end_header_id|>\n${userInput}<|eot_id|>\n<|start_header_id|>assistant<|end_header_id|>\n`;
return prompt;
}
async function executeToolCalls(text) {
const toolCallRegex = /<call_tool>(\w+)\((\{.*?\})\)<\/call_tool>/g;
let result = text;
let match;
while ((match = toolCallRegex.exec(text)) !== null) {
const funcName = match[1];
let args;
try { args = JSON.parse(match[2]); } catch { continue; }
if (customTools[funcName]) {
try {
const toolResult = await customTools[funcName](...Object.values(args));
result = result.replace(match[0], `[TOOL RESULT: ${funcName} => ${toolResult}]`);
appendToolResult(funcName, toolResult);
} catch (err) { result = result.replace(match[0], `[TOOL ERROR: ${err.message}]`); }
}
}
return result;
}
async function runInference(prompt, history) {
if (!generator) await initModel();
if (!generator) return 'Model not loaded.';
const formatted = formatPrompt(prompt, history);
statusEl.textContent = 'Processing locally...';
try {
const output = await generator(formatted, {
max_new_tokens: 256, temperature: 0.1, top_p: 0.9,
do_sample: true, return_full_text: false, repetition_penalty: 1.2
});
let generated = output[0].generated_text.trim();
generated = generated
.replace(/^.*?<\|assistant\|>\s*/s, '')
.replace(/^.*?<\|user\|>\s*/s, '')
.replace(/^.*?<\|system\|>\s*/s, '')
.replace(/^.*?You are Bob.*?\n/s, '')
.replace(/Available tools:[\s\S]*?Only call tools[\s\S]*?\n/, '')
.trim();
const toolCallRegex = /<call_tool>(\w+)\((\{.*?\})\)<\/call_tool>/g;
let match;
while ((match = toolCallRegex.exec(generated)) !== null) {
const funcName = match[1];
let args;
try { args = JSON.parse(match[2]); } catch { continue; }
if (customTools[funcName]) {
try {
const toolResult = await customTools[funcName](...Object.values(args));
generated = generated.replace(match[0], `[TOOL RESULT: ${funcName} => ${toolResult}]`);
} catch (err) { generated = generated.replace(match[0], `[TOOL ERROR: ${err.message}]`); }
}
}
return generated.trim();
} catch (err) { console.error(err); return `Error: ${err.message}`; }
}
async function handleSend() {
console.log('handleSend called, isLoading:', isLoading);
if (isLoading) { console.log('Model still loading'); return; }
const prompt = inputEl.value.trim();
console.log('Prompt:', prompt);
if (!prompt) return;
if (!currentChatId) currentChatId = createChat();
appendMessage('user', prompt);
inputEl.value = '';
executeBtn.disabled = true;
executeBtn.textContent = 'THINKING...';
const history = chats[currentChatId]?.messages.slice(-6) || [];
console.log('History:', history);
const result = await runInference(prompt, history);
console.log('Result:', result);
appendMessage('assistant', result);
executeBtn.disabled = false;
executeBtn.textContent = 'SEND';
statusEl.textContent = 'Ready.';
}
executeBtn.addEventListener('click', handleSend);
inputEl.addEventListener('keydown', (e) => { if (e.key === 'Enter' && (e.ctrlKey || e.metaKey)) handleSend(); });
newChatBtn.addEventListener('click', () => { currentChatId = createChat(); switchChat(currentChatId); inputEl.focus(); });
menuBtn.addEventListener('click', () => { sidebar.classList.toggle('open'); sidebarOverlay.classList.toggle('open'); });
sidebarOverlay.addEventListener('click', () => { sidebar.classList.remove('open'); sidebarOverlay.classList.remove('open'); });
renderChatList();
if (Object.keys(chats).length > 0) {
const latest = Object.values(chats).sort((a,b)=>b.updated-a.updated)[0];
switchChat(latest.id);
}
initModel(); |