478 lines
15 KiB
HTML
478 lines
15 KiB
HTML
<html>
|
|
|
|
<head>
|
|
<meta charset="UTF-8">
|
|
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
|
|
<meta name="color-scheme" content="light dark">
|
|
<title>llama.cpp - chat</title>
|
|
|
|
<style>
|
|
body {
|
|
font-family: system-ui;
|
|
font-size: 90%;
|
|
}
|
|
|
|
#container {
|
|
margin: 0em auto;
|
|
display: flex;
|
|
flex-direction: column;
|
|
justify-content: space-between;
|
|
height: 100%;
|
|
}
|
|
|
|
main {
|
|
margin: 3px;
|
|
display: flex;
|
|
flex-direction: column;
|
|
justify-content: space-between;
|
|
gap: 1em;
|
|
|
|
flex-grow: 1;
|
|
overflow-y: auto;
|
|
|
|
border: 1px solid #ccc;
|
|
border-radius: 5px;
|
|
padding: 0.5em;
|
|
}
|
|
|
|
body {
|
|
max-width: 600px;
|
|
min-width: 300px;
|
|
line-height: 1.2;
|
|
margin: 0 auto;
|
|
padding: 0 0.5em;
|
|
}
|
|
|
|
p {
|
|
overflow-wrap: break-word;
|
|
word-wrap: break-word;
|
|
hyphens: auto;
|
|
margin-top: 0.5em;
|
|
margin-bottom: 0.5em;
|
|
}
|
|
|
|
#write form {
|
|
margin: 1em 0 0 0;
|
|
display: flex;
|
|
flex-direction: column;
|
|
gap: 0.5em;
|
|
align-items: stretch;
|
|
}
|
|
|
|
.right {
|
|
display: flex;
|
|
flex-direction: row;
|
|
gap: 0.5em;
|
|
justify-content: flex-end;
|
|
}
|
|
|
|
fieldset {
|
|
border: none;
|
|
padding: 0;
|
|
margin: 0;
|
|
}
|
|
|
|
fieldset.two {
|
|
display: grid;
|
|
grid-template: "a a";
|
|
gap: 1em;
|
|
}
|
|
|
|
fieldset.three {
|
|
display: grid;
|
|
grid-template: "a a a";
|
|
gap: 1em;
|
|
}
|
|
|
|
details {
|
|
border: 1px solid #aaa;
|
|
border-radius: 4px;
|
|
padding: 0.5em 0.5em 0;
|
|
margin-top: 0.5em;
|
|
}
|
|
|
|
summary {
|
|
font-weight: bold;
|
|
margin: -0.5em -0.5em 0;
|
|
padding: 0.5em;
|
|
cursor: pointer;
|
|
}
|
|
|
|
details[open] {
|
|
padding: 0.5em;
|
|
}
|
|
|
|
|
|
textarea {
|
|
padding: 5px;
|
|
flex-grow: 1;
|
|
width: 100%;
|
|
}
|
|
|
|
pre code {
|
|
display: block;
|
|
background-color: #222;
|
|
color: #ddd;
|
|
}
|
|
code {
|
|
font-family: monospace;
|
|
padding: 0.1em 0.3em;
|
|
border-radius: 3px;
|
|
}
|
|
|
|
fieldset label {
|
|
margin: 0.5em 0;
|
|
display: block;
|
|
}
|
|
|
|
header, footer {
|
|
text-align: center;
|
|
}
|
|
|
|
footer {
|
|
font-size: 80%;
|
|
color: #888;
|
|
}
|
|
</style>
|
|
|
|
<script type="module">
|
|
import {
|
|
html, h, signal, effect, computed, render, useSignal, useEffect, useRef
|
|
} from '/index.js';
|
|
|
|
import { llama } from '/completion.js';
|
|
import { SchemaConverter } from '/json-schema-to-grammar.mjs';
|
|
|
|
const session = signal({
|
|
prompt: "This is a conversation between user and llama, a friendly chatbot. respond in simple markdown.",
|
|
template: "{{prompt}}\n\n{{history}}\n{{char}}:",
|
|
historyTemplate: "{{name}}: {{message}}",
|
|
transcript: [],
|
|
type: "chat",
|
|
char: "llama",
|
|
user: "User",
|
|
})
|
|
|
|
const params = signal({
|
|
n_predict: 400,
|
|
temperature: 0.7,
|
|
repeat_last_n: 256, // 0 = disable penalty, -1 = context size
|
|
repeat_penalty: 1.18, // 1.0 = disabled
|
|
top_k: 40, // <= 0 to use vocab size
|
|
top_p: 0.5, // 1.0 = disabled
|
|
tfs_z: 1.0, // 1.0 = disabled
|
|
typical_p: 1.0, // 1.0 = disabled
|
|
presence_penalty: 0.0, // 0.0 = disabled
|
|
frequency_penalty: 0.0, // 0.0 = disabled
|
|
mirostat: 0, // 0/1/2
|
|
mirostat_tau: 5, // target entropy
|
|
mirostat_eta: 0.1, // learning rate
|
|
grammar: '',
|
|
})
|
|
|
|
const llamaStats = signal(null)
|
|
const controller = signal(null)
|
|
|
|
const generating = computed(() => controller.value == null )
|
|
const chatStarted = computed(() => session.value.transcript.length > 0)
|
|
|
|
const transcriptUpdate = (transcript) => {
|
|
session.value = {
|
|
...session.value,
|
|
transcript
|
|
}
|
|
}
|
|
|
|
// simple template replace
|
|
const template = (str, extraSettings) => {
|
|
let settings = session.value;
|
|
if (extraSettings) {
|
|
settings = { ...settings, ...extraSettings };
|
|
}
|
|
return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
|
|
}
|
|
|
|
// send message to server
|
|
const chat = async (msg) => {
|
|
if (controller.value) {
|
|
console.log('already running...');
|
|
return;
|
|
}
|
|
controller.value = new AbortController();
|
|
|
|
transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
|
|
|
|
const prompt = template(session.value.template, {
|
|
message: msg,
|
|
history: session.value.transcript.flatMap(([name, message]) => template(session.value.historyTemplate, {name, message})).join("\n"),
|
|
});
|
|
|
|
let currentMessage = '';
|
|
const history = session.value.transcript
|
|
|
|
const llamaParams = {
|
|
...params.value,
|
|
stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
|
|
}
|
|
|
|
for await (const chunk of llama(prompt, llamaParams, { controller: controller.value })) {
|
|
const data = chunk.data;
|
|
currentMessage += data.content;
|
|
|
|
// remove leading whitespace
|
|
currentMessage = currentMessage.replace(/^\s+/, "")
|
|
|
|
transcriptUpdate([...history, ["{{char}}", currentMessage]])
|
|
|
|
if (data.stop) {
|
|
console.log("Completion finished: '", currentMessage, "', summary: ", data);
|
|
}
|
|
|
|
if (data.timings) {
|
|
llamaStats.value = data.timings;
|
|
}
|
|
}
|
|
|
|
controller.value = null;
|
|
}
|
|
|
|
function MessageInput() {
|
|
const message = useSignal("")
|
|
|
|
const stop = (e) => {
|
|
e.preventDefault();
|
|
if (controller.value) {
|
|
controller.value.abort();
|
|
controller.value = null;
|
|
}
|
|
}
|
|
|
|
const reset = (e) => {
|
|
stop(e);
|
|
transcriptUpdate([]);
|
|
}
|
|
|
|
const submit = (e) => {
|
|
stop(e);
|
|
chat(message.value);
|
|
message.value = "";
|
|
}
|
|
|
|
const enterSubmits = (event) => {
|
|
if (event.which === 13 && !event.shiftKey) {
|
|
submit(event);
|
|
}
|
|
}
|
|
|
|
return html`
|
|
<form onsubmit=${submit}>
|
|
<div>
|
|
<textarea type="text" rows=2 onkeypress=${enterSubmits} value="${message}" oninput=${(e) => message.value = e.target.value} placeholder="Say something..."/>
|
|
</div>
|
|
<div class="right">
|
|
<button type="submit" disabled=${!generating.value} >Send</button>
|
|
<button onclick=${stop} disabled=${generating}>Stop</button>
|
|
<button onclick=${reset}>Reset</button>
|
|
</div>
|
|
</form>
|
|
`
|
|
}
|
|
|
|
const ChatLog = (props) => {
|
|
const messages = session.value.transcript;
|
|
const container = useRef(null)
|
|
|
|
useEffect(() => {
|
|
// scroll to bottom (if needed)
|
|
const parent = container.current.parentElement;
|
|
if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
|
|
parent.scrollTo(0, parent.scrollHeight)
|
|
}
|
|
}, [messages])
|
|
|
|
const chatLine = ([user, msg]) => {
|
|
return html`<p key=${msg}><strong>${template(user)}:</strong> <${Markdownish} text=${template(msg)} /></p>`
|
|
};
|
|
|
|
return html`
|
|
<section id="chat" ref=${container}>
|
|
${messages.flatMap(chatLine)}
|
|
</section>`;
|
|
};
|
|
|
|
const ConfigForm = (props) => {
|
|
const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
|
|
const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
|
|
const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
|
|
const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
|
|
|
|
const grammarJsonSchemaPropOrder = signal('')
|
|
const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
|
|
const convertJSONSchemaGrammar = () => {
|
|
try {
|
|
const schema = JSON.parse(params.value.grammar)
|
|
const converter = new SchemaConverter(
|
|
grammarJsonSchemaPropOrder.value
|
|
.split(',')
|
|
.reduce((acc, cur, i) => ({...acc, [cur.trim()]: i}), {})
|
|
)
|
|
converter.visit(schema, '')
|
|
params.value = {
|
|
...params.value,
|
|
grammar: converter.formatGrammar(),
|
|
}
|
|
} catch (e) {
|
|
alert(`Convert failed: ${e.message}`)
|
|
}
|
|
}
|
|
|
|
const FloatField = ({label, max, min, name, step, value}) => {
|
|
return html`
|
|
<div>
|
|
<label for="${name}">${label}</label>
|
|
<input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} />
|
|
<span>${value}</span>
|
|
</div>
|
|
`
|
|
};
|
|
|
|
const IntField = ({label, max, min, name, value}) => {
|
|
return html`
|
|
<div>
|
|
<label for="${name}">${label}</label>
|
|
<input type="range" id="${name}" min="${min}" max="${max}" name="${name}" value="${value}" oninput=${updateParamsInt} />
|
|
<span>${value}</span>
|
|
</div>
|
|
`
|
|
};
|
|
|
|
return html`
|
|
<form>
|
|
<fieldset>
|
|
<div>
|
|
<label for="prompt">Prompt</label>
|
|
<textarea type="text" name="prompt" value="${session.value.prompt}" rows=4 oninput=${updateSession}/>
|
|
</div>
|
|
</fieldset>
|
|
|
|
<fieldset class="two">
|
|
<div>
|
|
<label for="user">User name</label>
|
|
<input type="text" name="user" value="${session.value.user}" oninput=${updateSession} />
|
|
</div>
|
|
|
|
<div>
|
|
<label for="bot">Bot name</label>
|
|
<input type="text" name="char" value="${session.value.char}" oninput=${updateSession} />
|
|
</div>
|
|
</fieldset>
|
|
|
|
<fieldset>
|
|
<div>
|
|
<label for="template">Prompt template</label>
|
|
<textarea id="template" name="template" value="${session.value.template}" rows=4 oninput=${updateSession}/>
|
|
</div>
|
|
|
|
<div>
|
|
<label for="template">Chat history template</label>
|
|
<textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
|
|
</div>
|
|
|
|
<div>
|
|
<label for="template">Grammar</label>
|
|
<textarea id="grammar" name="grammar" placeholder="Use gbnf or JSON Schema+convert" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
|
|
<input type="text" name="prop-order" placeholder="order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
|
|
<button type="button" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
|
|
</div>
|
|
</fieldset>
|
|
|
|
<fieldset class="two">
|
|
${IntField({label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict})}
|
|
${FloatField({label: "Temperature", max: 1.5, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature})}
|
|
${FloatField({label: "Penalize repeat sequence", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty})}
|
|
${IntField({label: "Consider N tokens for penalize", max: 2048, min: 0, name: "repeat_last_n", value: params.value.repeat_last_n})}
|
|
${IntField({label: "Top-K sampling", max: 100, min: -1, name: "top_k", value: params.value.top_k})}
|
|
${FloatField({label: "Top-P sampling", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p})}
|
|
</fieldset>
|
|
<details>
|
|
<summary>More options</summary>
|
|
<fieldset class="two">
|
|
${FloatField({label: "TFS-Z", max: 1.0, min: 0.0, name: "tfs_z", step: 0.01, value: params.value.tfs_z})}
|
|
${FloatField({label: "Typical P", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p})}
|
|
${FloatField({label: "Presence penalty", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty})}
|
|
${FloatField({label: "Frequency penalty", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty})}
|
|
</fieldset>
|
|
<hr />
|
|
<fieldset class="three">
|
|
<div>
|
|
<label><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> no Mirostat</label>
|
|
<label><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
|
|
<label><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
|
|
</div>
|
|
${FloatField({label: "Mirostat tau", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau})}
|
|
${FloatField({label: "Mirostat eta", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta})}
|
|
</fieldset>
|
|
</details>
|
|
</form>
|
|
`
|
|
}
|
|
// poor mans markdown replacement
|
|
const Markdownish = (params) => {
|
|
const md = params.text
|
|
.replace(/&/g, '&')
|
|
.replace(/</g, '<')
|
|
.replace(/>/g, '>')
|
|
.replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
|
|
.replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
|
|
.replace(/__(.*?)__/g, '<strong>$1</strong>')
|
|
.replace(/\*(.*?)\*/g, '<em>$1</em>')
|
|
.replace(/_(.*?)_/g, '<em>$1</em>')
|
|
.replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
|
|
.replace(/`(.*?)`/g, '<code>$1</code>')
|
|
.replace(/\n/gim, '<br />');
|
|
return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
|
|
};
|
|
|
|
const ModelGenerationInfo = (params) => {
|
|
if (!llamaStats.value) {
|
|
return html`<span/>`
|
|
}
|
|
return html`
|
|
<span>
|
|
${llamaStats.value.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.predicted_per_second.toFixed(2)} tokens per second
|
|
</span>
|
|
`
|
|
}
|
|
|
|
function App(props) {
|
|
|
|
return html`
|
|
<div id="container">
|
|
<header>
|
|
<h1>llama.cpp</h1>
|
|
</header>
|
|
|
|
<main id="content">
|
|
<${chatStarted.value ? ChatLog : ConfigForm} />
|
|
</main>
|
|
|
|
<section id="write">
|
|
<${MessageInput} />
|
|
</section>
|
|
|
|
<footer>
|
|
<p><${ModelGenerationInfo} /></p>
|
|
<p>Powered by <a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a>.</p>
|
|
</footer>
|
|
</div>
|
|
`;
|
|
}
|
|
|
|
render(h(App), document.body);
|
|
</script>
|
|
</head>
|
|
|
|
<body>
|
|
</body>
|
|
|
|
</html>
|