mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-27 03:44:35 +00:00
1057 lines
34 KiB
HTML
1057 lines
34 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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<meta name="color-scheme" content="light dark">
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<title>llama.cpp - chat</title>
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<style>
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body {
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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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fieldset.two {
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display: grid;
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grid-template: "a a";
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gap: 1em;
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}
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fieldset.three {
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display: grid;
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grid-template: "a a a";
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gap: 1em;
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}
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details {
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border: 1px solid #aaa;
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border-radius: 4px;
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padding: 0.5em 0.5em 0;
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margin-top: 0.5em;
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}
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summary {
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font-weight: bold;
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margin: -0.5em -0.5em 0;
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padding: 0.5em;
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cursor: pointer;
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}
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details[open] {
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padding: 0.5em;
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}
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.prob-set {
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padding: 0.3em;
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border-bottom: 1px solid #ccc;
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}
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.popover-content {
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position: absolute;
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background-color: white;
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padding: 0.2em;
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box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
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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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fieldset label.slim {
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margin: 0 0.5em;
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display: inline;
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}
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header,
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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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.mode-chat textarea[name=prompt] {
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height: 4.5em;
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}
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.mode-completion textarea[name=prompt] {
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height: 10em;
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}
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[contenteditable] {
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display: inline-block;
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white-space: pre-wrap;
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outline: 0px solid transparent;
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}
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@keyframes loading-bg-wipe {
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0% {
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background-position: 0%;
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}
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100% {
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background-position: 100%;
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}
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}
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.loading {
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--loading-color-1: #eeeeee00;
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--loading-color-2: #eeeeeeff;
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background-size: 50% 100%;
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background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
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animation: loading-bg-wipe 2s linear infinite;
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}
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@media (prefers-color-scheme: dark) {
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.loading {
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--loading-color-1: #22222200;
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--loading-color-2: #222222ff;
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}
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.popover-content {
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background-color: black;
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}
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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, 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}}:",
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historyTemplate: "{{name}}: {{message}}",
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transcript: [],
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type: "chat", // "chat" | "completion"
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char: "Llama",
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user: "User",
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image_selected: ''
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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, // 0 = disable penalty, -1 = context size
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repeat_penalty: 1.18, // 1.0 = disabled
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penalize_nl: false,
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top_k: 40, // <= 0 to use vocab size
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top_p: 0.95, // 1.0 = disabled
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min_p: 0.05, // 0 = disabled
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tfs_z: 1.0, // 1.0 = disabled
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typical_p: 1.0, // 1.0 = disabled
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presence_penalty: 0.0, // 0.0 = disabled
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frequency_penalty: 0.0, // 0.0 = disabled
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mirostat: 0, // 0/1/2
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mirostat_tau: 5, // target entropy
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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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min_keep: 0, // min probs from each sampler,
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image_data: [],
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cache_prompt: true,
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api_key: ''
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})
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/* START: Support for storing prompt templates and parameters in browsers LocalStorage */
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const local_storage_storageKey = "llamacpp_server_local_storage";
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function local_storage_setDataFromObject(tag, content) {
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localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
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}
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function local_storage_setDataFromRawText(tag, content) {
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localStorage.setItem(local_storage_storageKey + '/' + tag, content);
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}
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function local_storage_getDataAsObject(tag) {
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const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
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if (!item) {
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return null;
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} else {
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return JSON.parse(item);
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}
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}
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function local_storage_getDataAsRawText(tag) {
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const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
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if (!item) {
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return null;
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} else {
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return item;
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}
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}
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// create a container for user templates and settings
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const savedUserTemplates = signal({})
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const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
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// let's import locally saved templates and settings if there are any
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// user templates and settings are stored in one object
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// in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
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console.log('Importing saved templates')
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let importedTemplates = local_storage_getDataAsObject('user_templates')
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if (importedTemplates) {
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// saved templates were successfully imported.
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console.log('Processing saved templates and updating default template')
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params.value = { ...params.value, image_data: [] };
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//console.log(importedTemplates);
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savedUserTemplates.value = importedTemplates;
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//override default template
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savedUserTemplates.value.default = { session: session.value, params: params.value }
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local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
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} else {
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// no saved templates detected.
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console.log('Initializing LocalStorage and saving default template')
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savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
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local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
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}
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function userTemplateResetToDefault() {
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console.log('Resetting template to default')
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selectedUserTemplate.value.name = 'default';
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selectedUserTemplate.value.data = savedUserTemplates.value['default'];
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}
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function userTemplateApply(t) {
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session.value = t.data.session;
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session.value = { ...session.value, image_selected: '' };
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params.value = t.data.params;
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params.value = { ...params.value, image_data: [] };
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}
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function userTemplateResetToDefaultAndApply() {
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userTemplateResetToDefault()
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userTemplateApply(selectedUserTemplate.value)
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}
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function userTemplateLoadAndApplyAutosaved() {
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// get autosaved last used template
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let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
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if (lastUsedTemplate) {
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console.log('Autosaved template found, restoring')
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selectedUserTemplate.value = lastUsedTemplate
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}
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else {
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console.log('No autosaved template found, using default template')
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// no autosaved last used template was found, so load from default.
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userTemplateResetToDefault()
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}
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console.log('Applying template')
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// and update internal data from templates
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userTemplateApply(selectedUserTemplate.value)
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}
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//console.log(savedUserTemplates.value)
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//console.log(selectedUserTemplate.value)
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function userTemplateAutosave() {
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console.log('Template Autosave...')
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if (selectedUserTemplate.value.name == 'default') {
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// we don't want to save over default template, so let's create a new one
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let newTemplateName = 'UserTemplate-' + Date.now().toString()
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let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
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console.log('Saving as ' + newTemplateName)
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// save in the autosave slot
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local_storage_setDataFromObject('user_templates_last', newTemplate)
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// and load it back and apply
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userTemplateLoadAndApplyAutosaved()
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} else {
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local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
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}
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}
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console.log('Checking for autosaved last used template')
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userTemplateLoadAndApplyAutosaved()
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/* 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?
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const generating = computed(() => controller.value != null)
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// has the user started a chat?
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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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async function runLlama(prompt, llamaParams, char) {
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const currentMessages = [];
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const history = session.value.transcript;
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if (controller.value) {
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throw new Error("already running");
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}
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controller.value = new AbortController();
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for await (const chunk of llama(prompt, llamaParams, { controller: controller.value, api_url: location.pathname.replace(/\/+$/, '') })) {
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const data = chunk.data;
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if (data.stop) {
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while (
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currentMessages.length > 0 &&
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currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
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) {
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currentMessages.pop();
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}
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transcriptUpdate([...history, [char, currentMessages]])
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console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
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} else {
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currentMessages.push(data);
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slot_id = data.slot_id;
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if (selected_image && !data.multimodal) {
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alert("The server was not compiled for multimodal or the model projector can't be loaded.");
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return;
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}
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transcriptUpdate([...history, [char, currentMessages]])
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}
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if (data.timings) {
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llamaStats.value = data;
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}
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}
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controller.value = null;
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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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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(
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([name, data]) =>
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template(
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session.value.historyTemplate,
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{
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name,
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message: Array.isArray(data) ?
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data.map(msg => msg.content).join('').replace(/^\s/, '') :
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data,
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}
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)
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).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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}
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const runCompletion = () => {
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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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const { prompt } = session.value;
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transcriptUpdate([...session.value.transcript, ["", prompt]]);
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runLlama(prompt, {
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...params.value,
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slot_id: slot_id,
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stop: [],
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}, "").finally(() => {
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session.value.prompt = session.value.transcript.map(([_, data]) =>
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Array.isArray(data) ? data.map(msg => msg.content).join('') : data
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).join('');
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session.value.transcript = [];
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})
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}
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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 uploadImage = (e) => {
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e.preventDefault();
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document.getElementById("fileInput").click();
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document.getElementById("fileInput").addEventListener("change", function (event) {
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const selectedFile = event.target.files[0];
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if (selectedFile) {
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const reader = new FileReader();
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reader.onload = function () {
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const image_data = reader.result;
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session.value = { ...session.value, image_selected: image_data };
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params.value = {
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...params.value, image_data: [
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{ data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
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}
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};
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selected_image = true;
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reader.readAsDataURL(selectedFile);
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}
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});
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}
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function MessageInput() {
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const message = useSignal("")
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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
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className=${generating.value ? "loading" : null}
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oninput=${(e) => message.value = e.target.value}
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onkeypress=${enterSubmits}
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placeholder="Say something..."
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rows=2
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type="text"
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value="${message}"
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/>
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</div>
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<div class="right">
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<button type="submit" disabled=${generating.value}>Send</button>
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<button onclick=${uploadImage}>Upload Image</button>
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<button onclick=${stop} disabled=${!generating.value}>Stop</button>
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<button onclick=${reset}>Reset</button>
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</div>
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</form>
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`
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}
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function CompletionControls() {
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const submit = (e) => {
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stop(e);
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runCompletion();
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}
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return html`
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<div>
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<button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
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<button onclick=${stop} disabled=${!generating.value}>Stop</button>
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<button onclick=${reset}>Reset</button>
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|
</div>`;
|
|
}
|
|
|
|
const ChatLog = (props) => {
|
|
const messages = session.value.transcript;
|
|
const container = useRef(null)
|
|
|
|
useEffect(() => {
|
|
// scroll to bottom (if needed)
|
|
const parent = container.current.parentElement;
|
|
if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
|
|
parent.scrollTo(0, parent.scrollHeight)
|
|
}
|
|
}, [messages])
|
|
|
|
const isCompletionMode = session.value.type === 'completion'
|
|
const chatLine = ([user, data], index) => {
|
|
let message
|
|
const isArrayMessage = Array.isArray(data)
|
|
if (params.value.n_probs > 0 && isArrayMessage) {
|
|
message = html`<${Probabilities} data=${data} />`
|
|
} else {
|
|
const text = isArrayMessage ?
|
|
data.map(msg => msg.content).join('').replace(/^\s+/, '') :
|
|
data;
|
|
message = isCompletionMode ?
|
|
text :
|
|
html`<${Markdownish} text=${template(text)} />`
|
|
}
|
|
if (user) {
|
|
return html`<p key=${index}><strong>${template(user)}:</strong> ${message}</p>`
|
|
} else {
|
|
return isCompletionMode ?
|
|
html`<span key=${index}>${message}</span>` :
|
|
html`<p key=${index}>${message}</p>`
|
|
}
|
|
};
|
|
|
|
const handleCompletionEdit = (e) => {
|
|
session.value.prompt = e.target.innerText;
|
|
session.value.transcript = [];
|
|
}
|
|
|
|
return html`
|
|
<div id="chat" ref=${container} key=${messages.length}>
|
|
<img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
|
|
<span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
|
|
${messages.flatMap(chatLine)}
|
|
</span>
|
|
</div>`;
|
|
};
|
|
|
|
const ConfigForm = (props) => {
|
|
const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
|
|
const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
|
|
const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
|
|
const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
|
|
const updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
|
|
|
|
const grammarJsonSchemaPropOrder = signal('')
|
|
const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
|
|
const convertJSONSchemaGrammar = async () => {
|
|
try {
|
|
let schema = JSON.parse(params.value.grammar)
|
|
const converter = new SchemaConverter({
|
|
prop_order: grammarJsonSchemaPropOrder.value
|
|
.split(',')
|
|
.reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
|
|
allow_fetch: true,
|
|
})
|
|
schema = await converter.resolveRefs(schema, 'input')
|
|
converter.visit(schema, '')
|
|
params.value = {
|
|
...params.value,
|
|
grammar: converter.formatGrammar(),
|
|
}
|
|
} catch (e) {
|
|
alert(`Convert failed: ${e.message}`)
|
|
}
|
|
}
|
|
|
|
const FloatField = ({ label, max, min, name, step, value }) => {
|
|
return html`
|
|
<div>
|
|
<label for="${name}">${label}</label>
|
|
<input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} />
|
|
<span>${value}</span>
|
|
</div>
|
|
`
|
|
};
|
|
|
|
const IntField = ({ label, max, min, name, value }) => {
|
|
return html`
|
|
<div>
|
|
<label for="${name}">${label}</label>
|
|
<input type="range" id="${name}" min="${min}" max="${max}" name="${name}" value="${value}" oninput=${updateParamsInt} />
|
|
<span>${value}</span>
|
|
</div>
|
|
`
|
|
};
|
|
|
|
const BoolField = ({ label, name, value }) => {
|
|
return html`
|
|
<div>
|
|
<label for="${name}">${label}</label>
|
|
<input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} />
|
|
</div>
|
|
`
|
|
};
|
|
|
|
const userTemplateReset = (e) => {
|
|
e.preventDefault();
|
|
userTemplateResetToDefaultAndApply()
|
|
}
|
|
|
|
const UserTemplateResetButton = () => {
|
|
if (selectedUserTemplate.value.name == 'default') {
|
|
return html`
|
|
<button disabled>Using default template</button>
|
|
`
|
|
}
|
|
|
|
return html`
|
|
<button onclick=${userTemplateReset}>Reset all to default</button>
|
|
`
|
|
};
|
|
|
|
useEffect(() => {
|
|
// autosave template on every change
|
|
userTemplateAutosave()
|
|
}, [session.value, params.value])
|
|
|
|
const GrammarControl = () => (
|
|
html`
|
|
<div>
|
|
<label for="template">Grammar</label>
|
|
<textarea id="grammar" name="grammar" placeholder="Use gbnf or JSON Schema+convert" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
|
|
<input type="text" name="prop-order" placeholder="order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
|
|
<button type="button" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
|
|
</div>
|
|
`
|
|
);
|
|
|
|
const PromptControlFieldSet = () => (
|
|
html`
|
|
<fieldset>
|
|
<div>
|
|
<label htmlFor="prompt">Prompt</label>
|
|
<textarea type="text" name="prompt" value="${session.value.prompt}" oninput=${updateSession}/>
|
|
</div>
|
|
</fieldset>
|
|
`
|
|
);
|
|
|
|
const ChatConfigForm = () => (
|
|
html`
|
|
${PromptControlFieldSet()}
|
|
|
|
<fieldset class="two">
|
|
<div>
|
|
<label for="user">User name</label>
|
|
<input type="text" name="user" value="${session.value.user}" oninput=${updateSession} />
|
|
</div>
|
|
|
|
<div>
|
|
<label for="bot">Bot name</label>
|
|
<input type="text" name="char" value="${session.value.char}" oninput=${updateSession} />
|
|
</div>
|
|
</fieldset>
|
|
|
|
<fieldset>
|
|
<div>
|
|
<label for="template">Prompt template</label>
|
|
<textarea id="template" name="template" value="${session.value.template}" rows=4 oninput=${updateSession}/>
|
|
</div>
|
|
|
|
<div>
|
|
<label for="template">Chat history template</label>
|
|
<textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
|
|
</div>
|
|
${GrammarControl()}
|
|
</fieldset>
|
|
`
|
|
);
|
|
|
|
const CompletionConfigForm = () => (
|
|
html`
|
|
${PromptControlFieldSet()}
|
|
<fieldset>${GrammarControl()}</fieldset>
|
|
`
|
|
);
|
|
|
|
return html`
|
|
<form>
|
|
<fieldset class="two">
|
|
<${UserTemplateResetButton}/>
|
|
<div>
|
|
<label class="slim"><input type="radio" name="type" value="chat" checked=${session.value.type === "chat"} oninput=${updateSession} /> Chat</label>
|
|
<label class="slim"><input type="radio" name="type" value="completion" checked=${session.value.type === "completion"} oninput=${updateSession} /> Completion</label>
|
|
</div>
|
|
</fieldset>
|
|
|
|
${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
|
|
|
|
<fieldset class="two">
|
|
${IntField({ label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict })}
|
|
${FloatField({ label: "Temperature", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
|
|
${FloatField({ label: "Penalize repeat sequence", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
|
|
${IntField({ label: "Consider N tokens for penalize", max: 2048, min: 0, name: "repeat_last_n", value: params.value.repeat_last_n })}
|
|
${BoolField({ label: "Penalize repetition of newlines", name: "penalize_nl", value: params.value.penalize_nl })}
|
|
${IntField({ label: "Top-K sampling", max: 100, min: -1, name: "top_k", value: params.value.top_k })}
|
|
${FloatField({ label: "Top-P sampling", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p })}
|
|
${FloatField({ label: "Min-P sampling", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_p })}
|
|
</fieldset>
|
|
<details>
|
|
<summary>More options</summary>
|
|
<fieldset class="two">
|
|
${FloatField({ label: "TFS-Z", max: 1.0, min: 0.0, name: "tfs_z", step: 0.01, value: params.value.tfs_z })}
|
|
${FloatField({ label: "Typical P", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p })}
|
|
${FloatField({ label: "Presence penalty", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty })}
|
|
${FloatField({ label: "Frequency penalty", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty })}
|
|
</fieldset>
|
|
<hr />
|
|
<fieldset class="three">
|
|
<div>
|
|
<label><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> no Mirostat</label>
|
|
<label><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
|
|
<label><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
|
|
</div>
|
|
${FloatField({ label: "Mirostat tau", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau })}
|
|
${FloatField({ label: "Mirostat eta", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta })}
|
|
</fieldset>
|
|
<fieldset>
|
|
${IntField({ label: "Show Probabilities", max: 10, min: 0, name: "n_probs", value: params.value.n_probs })}
|
|
</fieldset>
|
|
<fieldset>
|
|
${IntField({ label: "Min Probabilities from each Sampler", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
|
|
</fieldset>
|
|
<fieldset>
|
|
<label for="api_key">API Key</label>
|
|
<input type="text" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
|
|
</fieldset>
|
|
</details>
|
|
</form>
|
|
`
|
|
}
|
|
|
|
const probColor = (p) => {
|
|
const r = Math.floor(192 * (1 - p));
|
|
const g = Math.floor(192 * p);
|
|
return `rgba(${r},${g},0,0.3)`;
|
|
}
|
|
|
|
const Probabilities = (params) => {
|
|
return params.data.map(msg => {
|
|
const { completion_probabilities } = msg;
|
|
if (
|
|
!completion_probabilities ||
|
|
completion_probabilities.length === 0
|
|
) return msg.content
|
|
|
|
if (completion_probabilities.length > 1) {
|
|
// Not for byte pair
|
|
if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
|
|
|
|
const splitData = completion_probabilities.map(prob => ({
|
|
content: prob.content,
|
|
completion_probabilities: [prob]
|
|
}))
|
|
return html`<${Probabilities} data=${splitData} />`
|
|
}
|
|
|
|
const { probs, content } = completion_probabilities[0]
|
|
const found = probs.find(p => p.tok_str === msg.content)
|
|
const pColor = found ? probColor(found.prob) : 'transparent'
|
|
|
|
const popoverChildren = html`
|
|
<div class="prob-set">
|
|
${probs.map((p, index) => {
|
|
return html`
|
|
<div
|
|
key=${index}
|
|
title=${`prob: ${p.prob}`}
|
|
style=${{
|
|
padding: '0.3em',
|
|
backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
|
|
}}
|
|
>
|
|
<span>${p.tok_str}: </span>
|
|
<span>${Math.floor(p.prob * 100)}%</span>
|
|
</div>
|
|
`
|
|
})}
|
|
</div>
|
|
`
|
|
|
|
return html`
|
|
<${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
|
|
${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
|
|
</>
|
|
`
|
|
});
|
|
}
|
|
|
|
// poor mans markdown replacement
|
|
const Markdownish = (params) => {
|
|
const md = params.text
|
|
.replace(/&/g, '&')
|
|
.replace(/</g, '<')
|
|
.replace(/>/g, '>')
|
|
.replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
|
|
.replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
|
|
.replace(/__(.*?)__/g, '<strong>$1</strong>')
|
|
.replace(/\*(.*?)\*/g, '<em>$1</em>')
|
|
.replace(/_(.*?)_/g, '<em>$1</em>')
|
|
.replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
|
|
.replace(/`(.*?)`/g, '<code>$1</code>')
|
|
.replace(/\n/gim, '<br />');
|
|
return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
|
|
};
|
|
|
|
const ModelGenerationInfo = (params) => {
|
|
if (!llamaStats.value) {
|
|
return html`<span/>`
|
|
}
|
|
return html`
|
|
<span>
|
|
${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
|
|
</span>
|
|
`
|
|
}
|
|
|
|
// simple popover impl
|
|
const Popover = (props) => {
|
|
const isOpen = useSignal(false);
|
|
const position = useSignal({ top: '0px', left: '0px' });
|
|
const buttonRef = useRef(null);
|
|
const popoverRef = useRef(null);
|
|
|
|
const togglePopover = () => {
|
|
if (buttonRef.current) {
|
|
const rect = buttonRef.current.getBoundingClientRect();
|
|
position.value = {
|
|
top: `${rect.bottom + window.scrollY}px`,
|
|
left: `${rect.left + window.scrollX}px`,
|
|
};
|
|
}
|
|
isOpen.value = !isOpen.value;
|
|
};
|
|
|
|
const handleClickOutside = (event) => {
|
|
if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
|
|
isOpen.value = false;
|
|
}
|
|
};
|
|
|
|
useEffect(() => {
|
|
document.addEventListener('mousedown', handleClickOutside);
|
|
return () => {
|
|
document.removeEventListener('mousedown', handleClickOutside);
|
|
};
|
|
}, []);
|
|
|
|
return html`
|
|
<span style=${props.style} ref=${buttonRef} onClick=${togglePopover}>${props.children}</span>
|
|
${isOpen.value && html`
|
|
<${Portal} into="#portal">
|
|
<div
|
|
ref=${popoverRef}
|
|
class="popover-content"
|
|
style=${{
|
|
top: position.value.top,
|
|
left: position.value.left,
|
|
}}
|
|
>
|
|
${props.popoverChildren}
|
|
</div>
|
|
</${Portal}>
|
|
`}
|
|
`;
|
|
};
|
|
|
|
// Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
|
|
/** Redirect rendering of descendants into the given CSS selector */
|
|
class Portal extends Component {
|
|
componentDidUpdate(props) {
|
|
for (let i in props) {
|
|
if (props[i] !== this.props[i]) {
|
|
return setTimeout(this.renderLayer);
|
|
}
|
|
}
|
|
}
|
|
|
|
componentDidMount() {
|
|
this.isMounted = true;
|
|
this.renderLayer = this.renderLayer.bind(this);
|
|
this.renderLayer();
|
|
}
|
|
|
|
componentWillUnmount() {
|
|
this.renderLayer(false);
|
|
this.isMounted = false;
|
|
if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
|
|
}
|
|
|
|
findNode(node) {
|
|
return typeof node === 'string' ? document.querySelector(node) : node;
|
|
}
|
|
|
|
renderLayer(show = true) {
|
|
if (!this.isMounted) return;
|
|
|
|
// clean up old node if moving bases:
|
|
if (this.props.into !== this.intoPointer) {
|
|
this.intoPointer = this.props.into;
|
|
if (this.into && this.remote) {
|
|
this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
|
|
}
|
|
this.into = this.findNode(this.props.into);
|
|
}
|
|
|
|
this.remote = render(html`
|
|
<${PortalProxy} context=${this.context}>
|
|
${show && this.props.children || null}
|
|
</${PortalProxy}>
|
|
`, this.into, this.remote);
|
|
}
|
|
|
|
render() {
|
|
return null;
|
|
}
|
|
}
|
|
// high-order component that renders its first child if it exists.
|
|
// used as a conditional rendering proxy.
|
|
class PortalProxy extends Component {
|
|
getChildContext() {
|
|
return this.props.context;
|
|
}
|
|
render({ children }) {
|
|
return children || null;
|
|
}
|
|
}
|
|
|
|
function App(props) {
|
|
useEffect(() => {
|
|
const query = new URLSearchParams(location.search).get("q");
|
|
if (query) chat(query);
|
|
}, []);
|
|
|
|
return html`
|
|
<div class="mode-${session.value.type}">
|
|
<header>
|
|
<h1>llama.cpp</h1>
|
|
</header>
|
|
|
|
<section id="write">
|
|
<${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;">
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</div>
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<div id="portal"></div>
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</body>
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|
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</html>
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