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< html >
< head >
< meta charset = "UTF-8" >
< meta name = "viewport" content = "width=device-width, initial-scale=1, maximum-scale=1" / >
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< meta name = "color-scheme" content = "light dark" >
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< 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;
}
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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;
}
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.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);
}
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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;
}
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fieldset label.slim {
margin: 0 0.5em;
display: inline;
}
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header, footer {
text-align: center;
}
footer {
font-size: 80%;
color: #888;
}
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.mode-chat textarea[name=prompt] {
height: 4.5em;
}
.mode-completion textarea[name=prompt] {
height: 10em;
}
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@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;
}
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@media (prefers-color-scheme: dark) {
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.loading {
--loading-color-1: #22222200;
--loading-color-2: #222222ff;
}
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.popover-content {
background-color: black;
}
}
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< / style >
< script type = "module" >
import {
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html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
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} from '/index.js';
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import { llama } from '/completion.js';
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import { SchemaConverter } from '/json-schema-to-grammar.mjs';
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let selected_image = false;
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var slot_id = -1;
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const session = signal({
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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.",
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template: "{{prompt}}\n\n{{history}}\n{{char}}:",
historyTemplate: "{{name}}: {{message}}",
transcript: [],
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type: "chat", // "chat" | "completion"
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char: "Llama",
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user: "User",
})
const params = signal({
n_predict: 400,
temperature: 0.7,
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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
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grammar: '',
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n_probs: 0, // no completion_probabilities,
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image_data: [],
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cache_prompt: true
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})
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/* START: Support for storing prompt templates and parameters in borwser 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 successfuly imported.
console.log('Processing saved templates and updating default template')
//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('Reseting themplate to default')
selectedUserTemplate.value.name = 'default';
selectedUserTemplate.value.data = savedUserTemplates.value['default'];
}
function userTemplateApply(t) {
session.value = t.data.session;
params.value = t.data.params;
}
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 */
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const llamaStats = signal(null)
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const controller = signal(null)
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// currently generating a completion?
const generating = computed(() => controller.value != null)
// has the user started a chat?
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const chatStarted = computed(() => session.value.transcript.length > 0)
const transcriptUpdate = (transcript) => {
session.value = {
...session.value,
transcript
}
}
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// 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]));
}
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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})) {
const data = chunk.data;
if (data.stop) {
while (
currentMessages.length > 0 & &
currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
) {
currentMessages.pop();
}
transcriptUpdate([...history, [char, currentMessages]])
console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
} else {
currentMessages.push(data);
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slot_id = data.slot_id;
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if(selected_image & & !data.multimodal) {
alert("The server was no compiled for multimodal or the model projector can't be loaded.");
return;
}
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transcriptUpdate([...history, [char, currentMessages]])
}
if (data.timings) {
llamaStats.value = data.timings;
}
}
controller.value = null;
}
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// send message to server
const chat = async (msg) => {
if (controller.value) {
console.log('already running...');
return;
}
transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
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let prompt = template(session.value.template, {
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message: msg,
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history: session.value.transcript.flatMap(
([name, data]) =>
template(
session.value.historyTemplate,
{
name,
message: Array.isArray(data) ?
data.map(msg => msg.content).join('').replace(/^\s/, '') :
data,
}
)
).join("\n"),
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});
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if(selected_image) {
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prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
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}
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await runLlama(prompt, {
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...params.value,
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slot_id: slot_id,
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stop: ["< / s > ", template("{{char}}:"), template("{{user}}:")],
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}, "{{char}}");
}
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const runCompletion = async () => {
if (controller.value) {
console.log('already running...');
return;
}
const {prompt} = session.value;
transcriptUpdate([...session.value.transcript, ["", prompt]]);
await runLlama(prompt, {
...params.value,
stop: [],
}, "");
}
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const stop = (e) => {
e.preventDefault();
if (controller.value) {
controller.value.abort();
controller.value = null;
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}
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}
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const reset = (e) => {
stop(e);
transcriptUpdate([]);
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}
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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;
params.value = {...params.value, image_data: [
{ data: image_data.replace('data:image/png;base64,', ''), id: 10 }] }
};
selected_image = true;
reader.readAsDataURL(selectedFile);
}
});
}
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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 = ${submit} >
< div >
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< textarea
className=${generating.value ? "loading" : null}
oninput=${(e) => message.value = e.target.value}
onkeypress=${enterSubmits}
placeholder="Say something..."
rows=2
type="text"
value="${message}"
/>
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< / div >
< div class = "right" >
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< button type = "submit" disabled = ${generating.value} > Send< / button >
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< button onclick = ${uploadImage} > Upload Image< / button >
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< button onclick = ${stop} disabled = ${!generating.value} > Stop< / button >
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< button onclick = ${reset} > Reset< / button >
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< / div >
< / form >
`
}
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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 > `;
}
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const ChatLog = (props) => {
const messages = session.value.transcript;
const container = useRef(null)
useEffect(() => {
// scroll to bottom (if needed)
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const parent = container.current.parentElement;
if (parent & & parent.scrollHeight < = parent.scrollTop + parent.offsetHeight + 300) {
parent.scrollTo(0, parent.scrollHeight)
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}
}, [messages])
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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 = html`< ${Markdownish} text=${template(text)} />`
}
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if(user) {
return html`< p key = ${index} > < strong > ${template(user)}:< / strong > ${message}< / p > `
} else {
return html`< p key = ${index} > ${message}< / p > `
}
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};
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) }
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const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
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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: ${e.message}`)
}
}
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const FloatField = ({label, max, min, name, step, value}) => {
return html`
< div >
< label for = "${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 >
`
};
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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 = ${userTemplateReset} > Reset all to default< / button >
`
};
useEffect(() => {
// autosave template on every change
userTemplateAutosave()
}, [session.value, params.value])
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const GrammarControl = () => (
html`
< div >
< label for = "template" > Grammar< / label >
< textarea id = "grammar" name = "grammar" placeholder = "Use gbnf or JSON Schema+convert" value = "${params.value.grammar}" rows = 4 oninput = ${updateParams}/ >
< input type = "text" name = "prop-order" placeholder = "order: prop1,prop2,prop3" oninput = ${updateGrammarJsonSchemaPropOrder} / >
< button type = "button" onclick = ${convertJSONSchemaGrammar} > Convert JSON Schema< / button >
< / div >
`
);
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const PromptControlFieldSet = () => (
html`
< fieldset >
< div >
< label htmlFor = "prompt" > Prompt< / label >
< textarea type = "text" name = "prompt" value = "${session.value.prompt}" oninput = ${updateSession}/ >
< / div >
< / fieldset >
`
);
const ChatConfigForm = () => (
html`
${PromptControlFieldSet()}
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< fieldset class = "two" >
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< div >
< label for = "user" > User name< / label >
< input type = "text" name = "user" value = "${session.value.user}" oninput = ${updateSession} / >
< / div >
< div >
< label for = "bot" > Bot name< / label >
< input type = "text" name = "char" value = "${session.value.char}" oninput = ${updateSession} / >
< / div >
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< / fieldset >
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< fieldset >
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< div >
< label for = "template" > Prompt template< / label >
< textarea id = "template" name = "template" value = "${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 = ${updateSession}/ >
< / div >
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${GrammarControl()}
< / fieldset >
`
);
const CompletionConfigForm = () => (
html`
${PromptControlFieldSet()}
< fieldset > ${GrammarControl()}< / fieldset >
`
);
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return html`
< form >
< fieldset class = "two" >
< ${UserTemplateResetButton}/>
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< div >
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< 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 = ${updateSession} / > Completion< / label >
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< / div >
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< / fieldset >
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${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
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< 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})}
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< / fieldset >
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< 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 >
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< fieldset >
${IntField({label: "Show Probabilities", max: 10, min: 0, name: "n_probs", value: params.value.n_probs})}
< / fieldset >
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< / details >
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< / form >
`
}
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const probColor = (p) => {
const r = Math.floor(192 * (1 - p));
const g = Math.floor(192 * p);
return `rgba(${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}>
${msg.content.match(/\n/gim) ? html`< br / > ` : msg.content}
< />
`
});
}
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// poor mans markdown replacement
const Markdownish = (params) => {
const md = params.text
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.replace(/& /g, '& ')
.replace(/< /g, '< ')
.replace(/>/g, '> ')
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.replace(/^#{1,6} (.*)$/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, ${llamaStats.value.predicted_per_second.toFixed(2)} tokens per second
< / span >
`
}
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// simple popover impl
const Popover = (props) => {
const isOpen = useSignal(false);
const position = useSignal({ top: '0px', left: '0px' });
const buttonRef = useRef(null);
const popoverRef = useRef(null);
const togglePopover = () => {
if (buttonRef.current) {
const rect = buttonRef.current.getBoundingClientRect();
position.value = {
top: `${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;
}
}
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function App(props) {
return html`
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< div class = "mode-${session.value.type}" >
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< header >
< h1 > llama.cpp< / h1 >
< / header >
< main id = "content" >
< ${chatStarted.value ? ChatLog : ConfigForm} />
< / main >
< section id = "write" >
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< ${session.value.type === 'chat' ? MessageInput : CompletionControls} />
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< / 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 >
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`;
}
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render(h(App), document.querySelector('#container'));
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< / script >
< / head >
< body >
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< div id = "container" >
< input type = "file" id = "fileInput" accept = "image/*" style = "display: none;" > < / div >
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< div id = "portal" > < / div >
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< / body >
< / html >
