mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-11-01 07:30:17 +01:00
1058 lines
34 KiB
HTML
1058 lines
34 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;
|
|
}
|
|
|
|
.prob-set {
|
|
padding: 0.3em;
|
|
border-bottom: 1px solid #ccc;
|
|
}
|
|
|
|
.popover-content {
|
|
position: absolute;
|
|
background-color: white;
|
|
padding: 0.2em;
|
|
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
fieldset label.slim {
|
|
margin: 0 0.5em;
|
|
display: inline;
|
|
}
|
|
|
|
header,
|
|
footer {
|
|
text-align: center;
|
|
}
|
|
|
|
footer {
|
|
font-size: 80%;
|
|
color: #888;
|
|
}
|
|
|
|
.mode-chat textarea[name=prompt] {
|
|
height: 4.5em;
|
|
}
|
|
|
|
.mode-completion textarea[name=prompt] {
|
|
height: 10em;
|
|
}
|
|
|
|
[contenteditable] {
|
|
display: inline-block;
|
|
white-space: pre-wrap;
|
|
outline: 0px solid transparent;
|
|
}
|
|
|
|
@keyframes loading-bg-wipe {
|
|
0% {
|
|
background-position: 0%;
|
|
}
|
|
|
|
100% {
|
|
background-position: 100%;
|
|
}
|
|
}
|
|
|
|
.loading {
|
|
--loading-color-1: #eeeeee00;
|
|
--loading-color-2: #eeeeeeff;
|
|
background-size: 50% 100%;
|
|
background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
|
|
animation: loading-bg-wipe 2s linear infinite;
|
|
}
|
|
|
|
@media (prefers-color-scheme: dark) {
|
|
.loading {
|
|
--loading-color-1: #22222200;
|
|
--loading-color-2: #222222ff;
|
|
}
|
|
|
|
.popover-content {
|
|
background-color: black;
|
|
}
|
|
}
|
|
</style>
|
|
|
|
<script type="module">
|
|
import {
|
|
html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
|
|
} from './index.js';
|
|
|
|
import { llama } from './completion.js';
|
|
import { SchemaConverter } from './json-schema-to-grammar.mjs';
|
|
let selected_image = false;
|
|
var slot_id = -1;
|
|
|
|
const session = signal({
|
|
prompt: "This is a conversation between User and Llama, a friendly chatbot. Llama is helpful, kind, honest, good at writing, and never fails to answer any requests immediately and with precision.",
|
|
template: "{{prompt}}\n\n{{history}}\n{{char}}:",
|
|
historyTemplate: "{{name}}: {{message}}",
|
|
transcript: [],
|
|
type: "chat", // "chat" | "completion"
|
|
char: "Llama",
|
|
user: "User",
|
|
image_selected: ''
|
|
})
|
|
|
|
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
|
|
penalize_nl: false,
|
|
top_k: 40, // <= 0 to use vocab size
|
|
top_p: 0.95, // 1.0 = disabled
|
|
min_p: 0.05, // 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: '',
|
|
n_probs: 0, // no completion_probabilities,
|
|
min_keep: 0, // min probs from each sampler,
|
|
image_data: [],
|
|
cache_prompt: true,
|
|
api_key: ''
|
|
})
|
|
|
|
/* START: Support for storing prompt templates and parameters in browsers LocalStorage */
|
|
|
|
const local_storage_storageKey = "llamacpp_server_local_storage";
|
|
|
|
function local_storage_setDataFromObject(tag, content) {
|
|
localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
|
|
}
|
|
|
|
function local_storage_setDataFromRawText(tag, content) {
|
|
localStorage.setItem(local_storage_storageKey + '/' + tag, content);
|
|
}
|
|
|
|
function local_storage_getDataAsObject(tag) {
|
|
const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
|
|
if (!item) {
|
|
return null;
|
|
} else {
|
|
return JSON.parse(item);
|
|
}
|
|
}
|
|
|
|
function local_storage_getDataAsRawText(tag) {
|
|
const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
|
|
if (!item) {
|
|
return null;
|
|
} else {
|
|
return item;
|
|
}
|
|
}
|
|
|
|
// create a container for user templates and settings
|
|
|
|
const savedUserTemplates = signal({})
|
|
const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
|
|
|
|
// let's import locally saved templates and settings if there are any
|
|
// user templates and settings are stored in one object
|
|
// in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
|
|
|
|
console.log('Importing saved templates')
|
|
|
|
let importedTemplates = local_storage_getDataAsObject('user_templates')
|
|
|
|
if (importedTemplates) {
|
|
// saved templates were successfully imported.
|
|
|
|
console.log('Processing saved templates and updating default template')
|
|
params.value = { ...params.value, image_data: [] };
|
|
|
|
//console.log(importedTemplates);
|
|
savedUserTemplates.value = importedTemplates;
|
|
|
|
//override default template
|
|
savedUserTemplates.value.default = { session: session.value, params: params.value }
|
|
local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
|
|
} else {
|
|
// no saved templates detected.
|
|
|
|
console.log('Initializing LocalStorage and saving default template')
|
|
|
|
savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
|
|
local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
|
|
}
|
|
|
|
function userTemplateResetToDefault() {
|
|
console.log('Resetting template to default')
|
|
selectedUserTemplate.value.name = 'default';
|
|
selectedUserTemplate.value.data = savedUserTemplates.value['default'];
|
|
}
|
|
|
|
function userTemplateApply(t) {
|
|
session.value = t.data.session;
|
|
session.value = { ...session.value, image_selected: '' };
|
|
params.value = t.data.params;
|
|
params.value = { ...params.value, image_data: [] };
|
|
}
|
|
|
|
function userTemplateResetToDefaultAndApply() {
|
|
userTemplateResetToDefault()
|
|
userTemplateApply(selectedUserTemplate.value)
|
|
}
|
|
|
|
function userTemplateLoadAndApplyAutosaved() {
|
|
// get autosaved last used template
|
|
let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
|
|
|
|
if (lastUsedTemplate) {
|
|
|
|
console.log('Autosaved template found, restoring')
|
|
|
|
selectedUserTemplate.value = lastUsedTemplate
|
|
}
|
|
else {
|
|
|
|
console.log('No autosaved template found, using default template')
|
|
// no autosaved last used template was found, so load from default.
|
|
|
|
userTemplateResetToDefault()
|
|
}
|
|
|
|
console.log('Applying template')
|
|
// and update internal data from templates
|
|
|
|
userTemplateApply(selectedUserTemplate.value)
|
|
}
|
|
|
|
//console.log(savedUserTemplates.value)
|
|
//console.log(selectedUserTemplate.value)
|
|
|
|
function userTemplateAutosave() {
|
|
console.log('Template Autosave...')
|
|
if (selectedUserTemplate.value.name == 'default') {
|
|
// we don't want to save over default template, so let's create a new one
|
|
let newTemplateName = 'UserTemplate-' + Date.now().toString()
|
|
let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
|
|
|
|
console.log('Saving as ' + newTemplateName)
|
|
|
|
// save in the autosave slot
|
|
local_storage_setDataFromObject('user_templates_last', newTemplate)
|
|
|
|
// and load it back and apply
|
|
userTemplateLoadAndApplyAutosaved()
|
|
} else {
|
|
local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
|
|
}
|
|
}
|
|
|
|
console.log('Checking for autosaved last used template')
|
|
userTemplateLoadAndApplyAutosaved()
|
|
|
|
/* END: Support for storing prompt templates and parameters in browsers LocalStorage */
|
|
|
|
const llamaStats = signal(null)
|
|
const controller = signal(null)
|
|
|
|
// currently generating a completion?
|
|
const generating = computed(() => controller.value != null)
|
|
|
|
// has the user started a chat?
|
|
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]));
|
|
}
|
|
|
|
async function runLlama(prompt, llamaParams, char) {
|
|
const currentMessages = [];
|
|
const history = session.value.transcript;
|
|
if (controller.value) {
|
|
throw new Error("already running");
|
|
}
|
|
controller.value = new AbortController();
|
|
for await (const chunk of llama(prompt, llamaParams, { controller: controller.value, api_url: location.pathname.replace(/\/+$/, '') })) {
|
|
const data = chunk.data;
|
|
|
|
if (data.stop) {
|
|
while (
|
|
currentMessages.length > 0 &&
|
|
currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
|
|
) {
|
|
currentMessages.pop();
|
|
}
|
|
transcriptUpdate([...history, [char, currentMessages]])
|
|
console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
|
|
} else {
|
|
currentMessages.push(data);
|
|
slot_id = data.slot_id;
|
|
if (selected_image && !data.multimodal) {
|
|
alert("The server was not compiled for multimodal or the model projector can't be loaded.");
|
|
return;
|
|
}
|
|
transcriptUpdate([...history, [char, currentMessages]])
|
|
}
|
|
|
|
if (data.timings) {
|
|
llamaStats.value = data;
|
|
}
|
|
}
|
|
|
|
controller.value = null;
|
|
}
|
|
|
|
// send message to server
|
|
const chat = async (msg) => {
|
|
if (controller.value) {
|
|
console.log('already running...');
|
|
return;
|
|
}
|
|
|
|
transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
|
|
|
|
let prompt = template(session.value.template, {
|
|
message: msg,
|
|
history: session.value.transcript.flatMap(
|
|
([name, data]) =>
|
|
template(
|
|
session.value.historyTemplate,
|
|
{
|
|
name,
|
|
message: Array.isArray(data) ?
|
|
data.map(msg => msg.content).join('').replace(/^\s/, '') :
|
|
data,
|
|
}
|
|
)
|
|
).join("\n"),
|
|
});
|
|
if (selected_image) {
|
|
prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
|
|
}
|
|
await runLlama(prompt, {
|
|
...params.value,
|
|
slot_id: slot_id,
|
|
stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
|
|
}, "{{char}}");
|
|
}
|
|
|
|
const runCompletion = () => {
|
|
if (controller.value) {
|
|
console.log('already running...');
|
|
return;
|
|
}
|
|
const { prompt } = session.value;
|
|
transcriptUpdate([...session.value.transcript, ["", prompt]]);
|
|
runLlama(prompt, {
|
|
...params.value,
|
|
slot_id: slot_id,
|
|
stop: [],
|
|
}, "").finally(() => {
|
|
session.value.prompt = session.value.transcript.map(([_, data]) =>
|
|
Array.isArray(data) ? data.map(msg => msg.content).join('') : data
|
|
).join('');
|
|
session.value.transcript = [];
|
|
})
|
|
}
|
|
|
|
const stop = (e) => {
|
|
e.preventDefault();
|
|
if (controller.value) {
|
|
controller.value.abort();
|
|
controller.value = null;
|
|
}
|
|
}
|
|
|
|
const reset = (e) => {
|
|
stop(e);
|
|
transcriptUpdate([]);
|
|
}
|
|
|
|
const uploadImage = (e) => {
|
|
e.preventDefault();
|
|
document.getElementById("fileInput").click();
|
|
document.getElementById("fileInput").addEventListener("change", function (event) {
|
|
const selectedFile = event.target.files[0];
|
|
if (selectedFile) {
|
|
const reader = new FileReader();
|
|
reader.onload = function () {
|
|
const image_data = reader.result;
|
|
session.value = { ...session.value, image_selected: image_data };
|
|
params.value = {
|
|
...params.value, image_data: [
|
|
{ data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
|
|
}
|
|
};
|
|
selected_image = true;
|
|
reader.readAsDataURL(selectedFile);
|
|
}
|
|
});
|
|
}
|
|
|
|
function MessageInput() {
|
|
const message = useSignal("")
|
|
|
|
const submit = (e) => {
|
|
stop(e);
|
|
chat(message.value);
|
|
message.value = "";
|
|
}
|
|
|
|
const enterSubmits = (event) => {
|
|
if (event.which === 13 && !event.shiftKey) {
|
|
submit(event);
|
|
}
|
|
}
|
|
|
|
return html`
|
|
<form onsubmit=${submit}>
|
|
<div>
|
|
<textarea
|
|
className=${generating.value ? "loading" : null}
|
|
oninput=${(e) => message.value = e.target.value}
|
|
onkeypress=${enterSubmits}
|
|
placeholder="Say something..."
|
|
rows=2
|
|
type="text"
|
|
value="${message}"
|
|
/>
|
|
</div>
|
|
<div class="right">
|
|
<button type="submit" disabled=${generating.value}>Send</button>
|
|
<button onclick=${uploadImage}>Upload Image</button>
|
|
<button onclick=${stop} disabled=${!generating.value}>Stop</button>
|
|
<button onclick=${reset}>Reset</button>
|
|
</div>
|
|
</form>
|
|
`
|
|
}
|
|
|
|
function CompletionControls() {
|
|
const submit = (e) => {
|
|
stop(e);
|
|
runCompletion();
|
|
}
|
|
return html`
|
|
<div>
|
|
<button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
|
|
<button onclick=${stop} disabled=${!generating.value}>Stop</button>
|
|
<button onclick=${reset}>Reset</button>
|
|
</div>`;
|
|
}
|
|
|
|
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 isCompletionMode = session.value.type === 'completion'
|
|
const chatLine = ([user, data], index) => {
|
|
let message
|
|
const isArrayMessage = Array.isArray(data)
|
|
if (params.value.n_probs > 0 && isArrayMessage) {
|
|
message = html`<${Probabilities} data=${data} />`
|
|
} else {
|
|
const text = isArrayMessage ?
|
|
data.map(msg => msg.content).join('').replace(/^\s+/, '') :
|
|
data;
|
|
message = isCompletionMode ?
|
|
text :
|
|
html`<${Markdownish} text=${template(text)} />`
|
|
}
|
|
if (user) {
|
|
return html`<p key=${index}><strong>${template(user)}:</strong> ${message}</p>`
|
|
} else {
|
|
return isCompletionMode ?
|
|
html`<span key=${index}>${message}</span>` :
|
|
html`<p key=${index}>${message}</p>`
|
|
}
|
|
};
|
|
|
|
const handleCompletionEdit = (e) => {
|
|
session.value.prompt = e.target.innerText;
|
|
session.value.transcript = [];
|
|
}
|
|
|
|
return html`
|
|
<div id="chat" ref=${container} key=${messages.length}>
|
|
<img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
|
|
<span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
|
|
${messages.flatMap(chatLine)}
|
|
</span>
|
|
</div>`;
|
|
};
|
|
|
|
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 updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
|
|
|
|
const grammarJsonSchemaPropOrder = signal('')
|
|
const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
|
|
const convertJSONSchemaGrammar = async () => {
|
|
try {
|
|
let schema = JSON.parse(params.value.grammar)
|
|
const converter = new SchemaConverter({
|
|
prop_order: grammarJsonSchemaPropOrder.value
|
|
.split(',')
|
|
.reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
|
|
allow_fetch: true,
|
|
})
|
|
schema = await converter.resolveRefs(schema, 'input')
|
|
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>
|
|
`
|
|
};
|
|
|
|
const BoolField = ({ label, name, value }) => {
|
|
return html`
|
|
<div>
|
|
<label for="${name}">${label}</label>
|
|
<input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} />
|
|
</div>
|
|
`
|
|
};
|
|
|
|
const userTemplateReset = (e) => {
|
|
e.preventDefault();
|
|
userTemplateResetToDefaultAndApply()
|
|
}
|
|
|
|
const UserTemplateResetButton = () => {
|
|
if (selectedUserTemplate.value.name == 'default') {
|
|
return html`
|
|
<button disabled>Using default template</button>
|
|
`
|
|
}
|
|
|
|
return html`
|
|
<button onclick=${userTemplateReset}>Reset all to default</button>
|
|
`
|
|
};
|
|
|
|
useEffect(() => {
|
|
// autosave template on every change
|
|
userTemplateAutosave()
|
|
}, [session.value, params.value])
|
|
|
|
const GrammarControl = () => (
|
|
html`
|
|
<div>
|
|
<label for="template">Grammar</label>
|
|
<textarea id="grammar" name="grammar" placeholder="Use gbnf or JSON Schema+convert" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
|
|
<input type="text" name="prop-order" placeholder="order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
|
|
<button type="button" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
|
|
</div>
|
|
`
|
|
);
|
|
|
|
const PromptControlFieldSet = () => (
|
|
html`
|
|
<fieldset>
|
|
<div>
|
|
<label htmlFor="prompt">Prompt</label>
|
|
<textarea type="text" name="prompt" value="${session.value.prompt}" oninput=${updateSession}/>
|
|
</div>
|
|
</fieldset>
|
|
`
|
|
);
|
|
|
|
const ChatConfigForm = () => (
|
|
html`
|
|
${PromptControlFieldSet()}
|
|
|
|
<fieldset class="two">
|
|
<div>
|
|
<label for="user">User name</label>
|
|
<input type="text" name="user" value="${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>
|
|
${GrammarControl()}
|
|
</fieldset>
|
|
`
|
|
);
|
|
|
|
const CompletionConfigForm = () => (
|
|
html`
|
|
${PromptControlFieldSet()}
|
|
<fieldset>${GrammarControl()}</fieldset>
|
|
`
|
|
);
|
|
|
|
return html`
|
|
<form>
|
|
<fieldset class="two">
|
|
<${UserTemplateResetButton}/>
|
|
<div>
|
|
<label class="slim"><input type="radio" name="type" value="chat" checked=${session.value.type === "chat"} oninput=${updateSession} /> Chat</label>
|
|
<label class="slim"><input type="radio" name="type" value="completion" checked=${session.value.type === "completion"} oninput=${updateSession} /> Completion</label>
|
|
</div>
|
|
</fieldset>
|
|
|
|
${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
|
|
|
|
<fieldset class="two">
|
|
${IntField({ label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict })}
|
|
${FloatField({ label: "Temperature", max: 2.0, 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 })}
|
|
${BoolField({ label: "Penalize repetition of newlines", name: "penalize_nl", value: params.value.penalize_nl })}
|
|
${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 })}
|
|
${FloatField({ label: "Min-P sampling", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_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>
|
|
<fieldset>
|
|
${IntField({ label: "Show Probabilities", max: 10, min: 0, name: "n_probs", value: params.value.n_probs })}
|
|
</fieldset>
|
|
<fieldset>
|
|
${IntField({ label: "Min Probabilities from each Sampler", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
|
|
</fieldset>
|
|
<fieldset>
|
|
<label for="api_key">API Key</label>
|
|
<input type="text" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
|
|
</fieldset>
|
|
</details>
|
|
</form>
|
|
`
|
|
}
|
|
|
|
const probColor = (p) => {
|
|
const r = Math.floor(192 * (1 - p));
|
|
const g = Math.floor(192 * p);
|
|
return `rgba(${r},${g},0,0.3)`;
|
|
}
|
|
|
|
const Probabilities = (params) => {
|
|
return params.data.map(msg => {
|
|
const { completion_probabilities } = msg;
|
|
if (
|
|
!completion_probabilities ||
|
|
completion_probabilities.length === 0
|
|
) return msg.content
|
|
|
|
if (completion_probabilities.length > 1) {
|
|
// Not for byte pair
|
|
if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
|
|
|
|
const splitData = completion_probabilities.map(prob => ({
|
|
content: prob.content,
|
|
completion_probabilities: [prob]
|
|
}))
|
|
return html`<${Probabilities} data=${splitData} />`
|
|
}
|
|
|
|
const { probs, content } = completion_probabilities[0]
|
|
const found = probs.find(p => p.tok_str === msg.content)
|
|
const pColor = found ? probColor(found.prob) : 'transparent'
|
|
|
|
const popoverChildren = html`
|
|
<div class="prob-set">
|
|
${probs.map((p, index) => {
|
|
return html`
|
|
<div
|
|
key=${index}
|
|
title=${`prob: ${p.prob}`}
|
|
style=${{
|
|
padding: '0.3em',
|
|
backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
|
|
}}
|
|
>
|
|
<span>${p.tok_str}: </span>
|
|
<span>${Math.floor(p.prob * 100)}%</span>
|
|
</div>
|
|
`
|
|
})}
|
|
</div>
|
|
`
|
|
|
|
return html`
|
|
<${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
|
|
${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
|
|
</>
|
|
`
|
|
});
|
|
}
|
|
|
|
// poor mans markdown replacement
|
|
const Markdownish = (params) => {
|
|
const md = params.text
|
|
.replace(/&/g, '&')
|
|
.replace(/</g, '<')
|
|
.replace(/>/g, '>')
|
|
.replace(/^#{1,6} (.*)$/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.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
|
|
</span>
|
|
`
|
|
}
|
|
|
|
// simple popover impl
|
|
const Popover = (props) => {
|
|
const isOpen = useSignal(false);
|
|
const position = useSignal({ top: '0px', left: '0px' });
|
|
const buttonRef = useRef(null);
|
|
const popoverRef = useRef(null);
|
|
|
|
const togglePopover = () => {
|
|
if (buttonRef.current) {
|
|
const rect = buttonRef.current.getBoundingClientRect();
|
|
position.value = {
|
|
top: `${rect.bottom + window.scrollY}px`,
|
|
left: `${rect.left + window.scrollX}px`,
|
|
};
|
|
}
|
|
isOpen.value = !isOpen.value;
|
|
};
|
|
|
|
const handleClickOutside = (event) => {
|
|
if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
|
|
isOpen.value = false;
|
|
}
|
|
};
|
|
|
|
useEffect(() => {
|
|
document.addEventListener('mousedown', handleClickOutside);
|
|
return () => {
|
|
document.removeEventListener('mousedown', handleClickOutside);
|
|
};
|
|
}, []);
|
|
|
|
return html`
|
|
<span style=${props.style} ref=${buttonRef} onClick=${togglePopover}>${props.children}</span>
|
|
${isOpen.value && html`
|
|
<${Portal} into="#portal">
|
|
<div
|
|
ref=${popoverRef}
|
|
class="popover-content"
|
|
style=${{
|
|
top: position.value.top,
|
|
left: position.value.left,
|
|
}}
|
|
>
|
|
${props.popoverChildren}
|
|
</div>
|
|
</${Portal}>
|
|
`}
|
|
`;
|
|
};
|
|
|
|
// Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
|
|
/** Redirect rendering of descendants into the given CSS selector */
|
|
class Portal extends Component {
|
|
componentDidUpdate(props) {
|
|
for (let i in props) {
|
|
if (props[i] !== this.props[i]) {
|
|
return setTimeout(this.renderLayer);
|
|
}
|
|
}
|
|
}
|
|
|
|
componentDidMount() {
|
|
this.isMounted = true;
|
|
this.renderLayer = this.renderLayer.bind(this);
|
|
this.renderLayer();
|
|
}
|
|
|
|
componentWillUnmount() {
|
|
this.renderLayer(false);
|
|
this.isMounted = false;
|
|
if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
|
|
}
|
|
|
|
findNode(node) {
|
|
return typeof node === 'string' ? document.querySelector(node) : node;
|
|
}
|
|
|
|
renderLayer(show = true) {
|
|
if (!this.isMounted) return;
|
|
|
|
// clean up old node if moving bases:
|
|
if (this.props.into !== this.intoPointer) {
|
|
this.intoPointer = this.props.into;
|
|
if (this.into && this.remote) {
|
|
this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
|
|
}
|
|
this.into = this.findNode(this.props.into);
|
|
}
|
|
|
|
this.remote = render(html`
|
|
<${PortalProxy} context=${this.context}>
|
|
${show && this.props.children || null}
|
|
</${PortalProxy}>
|
|
`, this.into, this.remote);
|
|
}
|
|
|
|
render() {
|
|
return null;
|
|
}
|
|
}
|
|
// high-order component that renders its first child if it exists.
|
|
// used as a conditional rendering proxy.
|
|
class PortalProxy extends Component {
|
|
getChildContext() {
|
|
return this.props.context;
|
|
}
|
|
render({ children }) {
|
|
return children || null;
|
|
}
|
|
}
|
|
|
|
function App(props) {
|
|
useEffect(() => {
|
|
const query = new URLSearchParams(location.search).get("q");
|
|
if (query) chat(query);
|
|
}, []);
|
|
|
|
return html`
|
|
<div class="mode-${session.value.type}">
|
|
<header>
|
|
<h1>llama.cpp</h1>
|
|
</header>
|
|
|
|
<main id="content">
|
|
<${chatStarted.value ? ChatLog : ConfigForm} />
|
|
</main>
|
|
|
|
<section id="write">
|
|
<${session.value.type === 'chat' ? MessageInput : CompletionControls} />
|
|
</section>
|
|
|
|
<footer>
|
|
<p><${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.querySelector('#container'));
|
|
</script>
|
|
</head>
|
|
|
|
<body>
|
|
<div id="container">
|
|
<input type="file" id="fileInput" accept="image/*" style="display: none;">
|
|
</div>
|
|
<div id="portal"></div>
|
|
</body>
|
|
|
|
</html>
|
|
|