mirror of
https://git.adityakumar.xyz/llama.cpp.git
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* use javascript generators as much cleaner API Also add ways to access completion as promise and EventSource * export llama_timings as struct and expose them in server * update readme, update baked includes * llama : uniform variable names + struct init --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
380 lines
10 KiB
HTML
380 lines
10 KiB
HTML
<html>
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
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<title>llama.cpp - chat</title>
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<style>
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body {
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background-color: #fff;
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color: #000;
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font-family: system-ui;
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font-size: 90%;
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}
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#container {
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margin: 0em auto;
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display: flex;
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flex-direction: column;
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justify-content: space-between;
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height: 100%;
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}
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main {
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margin: 3px;
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display: flex;
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flex-direction: column;
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justify-content: space-between;
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gap: 1em;
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flex-grow: 1;
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overflow-y: auto;
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border: 1px solid #ccc;
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border-radius: 5px;
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padding: 0.5em;
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}
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body {
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max-width: 600px;
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min-width: 300px;
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line-height: 1.2;
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margin: 0 auto;
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padding: 0 0.5em;
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}
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p {
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overflow-wrap: break-word;
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word-wrap: break-word;
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hyphens: auto;
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margin-top: 0.5em;
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margin-bottom: 0.5em;
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}
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#write form {
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margin: 1em 0 0 0;
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display: flex;
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flex-direction: column;
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gap: 0.5em;
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align-items: stretch;
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}
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.right {
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display: flex;
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flex-direction: row;
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gap: 0.5em;
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justify-content: flex-end;
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}
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fieldset {
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border: none;
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padding: 0;
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margin: 0;
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}
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textarea {
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padding: 5px;
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flex-grow: 1;
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width: 100%;
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}
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pre code {
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display: block;
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background-color: #222;
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color: #ddd;
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}
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code {
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font-family: monospace;
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padding: 0.1em 0.3em;
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border-radius: 3px;
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}
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fieldset label {
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margin: 0.5em 0;
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display: block;
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}
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header, footer {
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text-align: center;
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}
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footer {
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font-size: 80%;
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color: #888;
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}
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</style>
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<script type="module">
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import {
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html, h, signal, effect, computed, render, useSignal, useEffect, useRef
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} from '/index.js';
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import { llama } from '/completion.js';
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const session = signal({
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prompt: "This is a conversation between user and llama, a friendly chatbot. respond in simple markdown.",
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template: "{{prompt}}\n\n{{history}}\n{{char}}:",
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historyTemplate: "{{name}}: {{message}}",
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transcript: [],
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type: "chat",
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char: "llama",
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user: "User",
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})
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const params = signal({
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n_predict: 400,
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temperature: 0.7,
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repeat_last_n: 256,
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repeat_penalty: 1.18,
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top_k: 40,
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top_p: 0.5,
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})
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const llamaStats = signal(null)
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const controller = signal(null)
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const generating = computed(() => controller.value == null )
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const chatStarted = computed(() => session.value.transcript.length > 0)
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const transcriptUpdate = (transcript) => {
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session.value = {
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...session.value,
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transcript
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}
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}
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// simple template replace
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const template = (str, extraSettings) => {
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let settings = session.value;
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if (extraSettings) {
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settings = { ...settings, ...extraSettings };
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}
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return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
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}
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// send message to server
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const chat = async (msg) => {
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if (controller.value) {
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console.log('already running...');
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return;
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}
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controller.value = new AbortController();
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transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
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const prompt = template(session.value.template, {
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message: msg,
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history: session.value.transcript.flatMap(([name, message]) => template(session.value.historyTemplate, {name, message})).join("\n"),
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});
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let currentMessage = '';
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const history = session.value.transcript
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const llamaParams = {
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...params.value,
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stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
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}
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for await (const chunk of llama(prompt, llamaParams, { controller: controller.value })) {
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const data = chunk.data;
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currentMessage += data.content;
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// remove leading whitespace
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currentMessage = currentMessage.replace(/^\s+/, "")
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transcriptUpdate([...history, ["{{char}}", currentMessage]])
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if (data.stop) {
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console.log("Completion finished: '", currentMessage, "', summary: ", data);
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}
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if (data.timings) {
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llamaStats.value = data.timings;
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}
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}
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controller.value = null;
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}
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function MessageInput() {
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const message = useSignal("")
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const stop = (e) => {
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e.preventDefault();
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if (controller.value) {
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controller.value.abort();
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controller.value = null;
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}
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}
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const reset = (e) => {
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stop(e);
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transcriptUpdate([]);
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}
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const submit = (e) => {
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stop(e);
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chat(message.value);
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message.value = "";
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}
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const enterSubmits = (event) => {
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if (event.which === 13 && !event.shiftKey) {
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submit(event);
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}
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}
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return html`
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<form onsubmit=${submit}>
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<div>
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<textarea type="text" rows=2 onkeypress=${enterSubmits} value="${message}" oninput=${(e) => message.value = e.target.value} placeholder="Say something..."/>
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</div>
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<div class="right">
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<button type="submit" disabled=${!generating.value} >Send</button>
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<button onclick=${stop} disabled=${generating}>Stop</button>
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<button onclick=${reset}>Reset</button>
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</div>
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</form>
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`
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}
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const ChatLog = (props) => {
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const messages = session.value.transcript;
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const container = useRef(null)
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useEffect(() => {
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// scroll to bottom (if needed)
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if (container.current && container.current.scrollHeight <= container.current.scrollTop + container.current.offsetHeight + 300) {
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container.current.scrollTo(0, container.current.scrollHeight)
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}
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}, [messages])
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const chatLine = ([user, msg]) => {
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return html`<p key=${msg}><strong>${template(user)}:</strong> <${Markdownish} text=${template(msg)} /></p>`
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};
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return html`
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<section id="chat" ref=${container}>
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${messages.flatMap(chatLine)}
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</section>`;
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};
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const ConfigForm = (props) => {
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const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
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const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
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const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
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return html`
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<form>
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<fieldset>
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<div>
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<label for="prompt">Prompt</label>
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<textarea type="text" name="prompt" value="${session.value.prompt}" rows=4 oninput=${updateSession}/>
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</div>
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<div>
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<label for="user">User name</label>
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<input type="text" name="user" value="${session.value.user}" oninput=${updateSession} />
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</div>
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<div>
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<label for="bot">Bot name</label>
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<input type="text" name="char" value="${session.value.char}" oninput=${updateSession} />
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</div>
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<div>
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<label for="template">Prompt template</label>
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<textarea id="template" name="template" value="${session.value.template}" rows=4 oninput=${updateSession}/>
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</div>
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<div>
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<label for="template">Chat history template</label>
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<textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
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</div>
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<div>
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<label for="temperature">Temperature</label>
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<input type="range" id="temperature" min="0.0" max="1.0" step="0.01" name="temperature" value="${params.value.temperature}" oninput=${updateParamsFloat} />
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<span>${params.value.temperature}</span>
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</div>
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<div>
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<label for="nPredict">Predictions</label>
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<input type="range" id="nPredict" min="1" max="2048" step="1" name="n_predict" value="${params.value.n_predict}" oninput=${updateParamsFloat} />
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<span>${params.value.n_predict}</span>
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</div>
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<div>
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<label for="repeat_penalty">Penalize repeat sequence</label>
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<input type="range" id="repeat_penalty" min="0.0" max="2.0" step="0.01" name="repeat_penalty" value="${params.value.repeat_penalty}" oninput=${updateParamsFloat} />
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<span>${params.value.repeat_penalty}</span>
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</div>
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<div>
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<label for="repeat_last_n">Consider N tokens for penalize</label>
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<input type="range" id="repeat_last_n" min="0.0" max="2048" name="repeat_last_n" value="${params.value.repeat_last_n}" oninput=${updateParamsFloat} />
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<span>${params.value.repeat_last_n}</span>
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</div>
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</fieldset>
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</form>
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`
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}
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// poor mans markdown replacement
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const Markdownish = (params) => {
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const md = params.text
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.replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
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.replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
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.replace(/__(.*?)__/g, '<strong>$1</strong>')
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.replace(/\*(.*?)\*/g, '<em>$1</em>')
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.replace(/_(.*?)_/g, '<em>$1</em>')
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.replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
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.replace(/`(.*?)`/g, '<code>$1</code>')
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.replace(/\n/gim, '<br />');
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return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
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};
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const ModelGenerationInfo = (params) => {
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if (!llamaStats.value) {
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return html`<span/>`
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}
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return html`
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<span>
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${llamaStats.value.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.predicted_per_second.toFixed(2)} tokens per second
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</span>
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`
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}
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function App(props) {
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return html`
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<div id="container">
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<header>
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<h1>llama.cpp</h1>
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</header>
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<main id="content">
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<${chatStarted.value ? ChatLog : ConfigForm} />
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</main>
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<section id="write">
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<${MessageInput} />
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</section>
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<footer>
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<p><${ModelGenerationInfo} /></p>
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<p>Powered by <a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a>.</p>
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</footer>
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</div>
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`;
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}
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render(h(App), document.body);
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</script>
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</head>
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<body>
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</body>
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</html>
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