server : add themes + favicon (#6848)

* Added themes support with two sample themes and a favicon.

* Newline

* Newline

* Newline

* Trailing whitespace

* Increased opacity for contrast

* Increase opacity.

Check actions cancelled for some other priority job and I can't seem to manually re-run them, so MOAR OPACITY

* Opacity action trigger.

Trying to re-trigger the cancelled action.

* One more opacity adjustment

This Actions pipeline is failing for random issues.

* Delete examples/server/themes/buttons_top/completion.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/buttons_top/index.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/wild/completion.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/buttons_top/json-schema-to-grammar.mjs

This will be served from the static string built-in to server.

* Delete examples/server/themes/wild/index.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/wild/json-schema-to-grammar.mjs

This will be served from the static string built-in to server.

* Replaced underscore.
This commit is contained in:
JohnnyB
2024-05-08 20:12:06 +01:00
committed by GitHub
parent 26458af1d6
commit bd1871fa2b
12 changed files with 2135 additions and 0 deletions
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# LLaMA.cpp Server Wild Theme
Simple themes directory of sample "public" directories. To try any of these add --path to your run like `server --path=wild`.
![image](wild/wild.png)
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# LLaMA.cpp Server Buttons Top Theme
Simple tweaks to the UI. Chat buttons at the top of the page instead of bottom so you can hit Stop instead of chasing it down the page.
To use simply run server with `--path=themes/buttons_top`
![image](buttons_top.png)
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<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}>
${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
</>
`
});
}
// poor mans markdown replacement
const Markdownish = (params) => {
const md = params.text
.replace(/&/g, '&amp;')
.replace(/</g, '&lt;')
.replace(/>/g, '&gt;')
.replace(/^#{1,6} (.*)$/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-${session.value.type}">
<header>
<h1>llama.cpp</h1>
</header>
<section id="write">
<${session.value.type === 'chat' ? MessageInput : CompletionControls} />
</section>
<main id="content">
<${chatStarted.value ? ChatLog : ConfigForm} />
</main>
<footer>
<p><${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>
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# LLaMA.cpp Server Wild Theme
Simple tweaks to the UI. To use simply run server with `--path=themes/wild`
![image](wild.png)
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After

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<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%;
background-image: url('llamapattern.png');
}
#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;
background-color: rgba(255,255,255,0.9);
}
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}>
${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
</>
`
});
}
// poor mans markdown replacement
const Markdownish = (params) => {
const md = params.text
.replace(/&/g, '&amp;')
.replace(/</g, '&lt;')
.replace(/>/g, '&gt;')
.replace(/^#{1,6} (.*)$/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-${session.value.type}">
<header>
<img src="llama_cpp.png" style="width:100%"/>
</header>
<section id="write">
<${session.value.type === 'chat' ? MessageInput : CompletionControls} />
</section>
<main id="content">
<${chatStarted.value ? ChatLog : ConfigForm} />
</main>
<footer>
<p><${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>
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