move new ui to "/public" due to otherwise problematic CORS behaviour

This commit is contained in:
Yazan Agha-Schrader 2024-05-30 04:00:56 +02:00
parent 8b937a1a71
commit 505d0a3346
18 changed files with 2 additions and 306 deletions

View file

@ -9,7 +9,7 @@
<title>llama.cpp - chat</title>
<link rel="icon" type="image/x-icon" href="favicon.ico">
<link rel="stylesheet" href="css-styles/style.css">
<link rel="stylesheet" href="style.css">
<script type="module">
import {
@ -1067,7 +1067,7 @@ return html`
<div class="dropdown">
<button class="dropbtn"><svg width="16" height="16" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><circle cx="12" cy="12" r="10" stroke-width="2"/></svg></button>
<div class="dropdown-content" id="theme-selector">
<!-- <a href="index.html">Old UI</a> -->
<a href="index.html">Old UI</a>
<a href="#" data-theme="default">Snow Storm</a>
<a href="#" data-theme="polarnight">Polar Night</a>
<a href="#" data-theme="ketivah">Ketivah</a>

View file

@ -1,191 +0,0 @@
const paramDefaults = {
stream: true,
n_predict: 500,
temperature: 0.2,
stop: ["</s>"]
};
let generation_settings = null;
// Completes the prompt as a generator. Recommended for most use cases.
//
// Example:
//
// import { llama } from '/completion.js'
//
// const request = llama("Tell me a joke", {n_predict: 800})
// for await (const chunk of request) {
// document.write(chunk.data.content)
// }
//
export async function* llama(prompt, params = {}, config = {}) {
let controller = config.controller;
if (!controller) {
controller = new AbortController();
}
const completionParams = { ...paramDefaults, ...params, prompt };
const response = await fetch("/completion", {
method: 'POST',
body: JSON.stringify(completionParams),
headers: {
'Connection': 'keep-alive',
'Content-Type': 'application/json',
'Accept': 'text/event-stream'
},
signal: controller.signal,
});
const reader = response.body.getReader();
const decoder = new TextDecoder();
let content = "";
let leftover = ""; // Buffer for partially read lines
try {
let cont = true;
while (cont) {
const result = await reader.read();
if (result.done) {
break;
}
// Add any leftover data to the current chunk of data
const text = leftover + decoder.decode(result.value);
// Check if the last character is a line break
const endsWithLineBreak = text.endsWith('\n');
// Split the text into lines
let lines = text.split('\n');
// If the text doesn't end with a line break, then the last line is incomplete
// Store it in leftover to be added to the next chunk of data
if (!endsWithLineBreak) {
leftover = lines.pop();
} else {
leftover = ""; // Reset leftover if we have a line break at the end
}
// Parse all sse events and add them to result
const regex = /^(\S+):\s(.*)$/gm;
for (const line of lines) {
const match = regex.exec(line);
if (match) {
result[match[1]] = match[2]
// since we know this is llama.cpp, let's just decode the json in data
if (result.data) {
result.data = JSON.parse(result.data);
content += result.data.content;
// yield
yield result;
// if we got a stop token from server, we will break here
if (result.data.stop) {
if (result.data.generation_settings) {
generation_settings = result.data.generation_settings;
}
cont = false;
break;
}
}
if (result.error) {
result.error = JSON.parse(result.error);
console.error(`llama.cpp error: ${result.error.content}`);
}
}
}
}
} catch (e) {
if (e.name !== 'AbortError') {
console.error("llama error: ", e);
}
throw e;
}
finally {
controller.abort();
}
return content;
}
// Call llama, return an event target that you can subcribe to
//
// Example:
//
// import { llamaEventTarget } from '/completion.js'
//
// const conn = llamaEventTarget(prompt)
// conn.addEventListener("message", (chunk) => {
// document.write(chunk.detail.content)
// })
//
export const llamaEventTarget = (prompt, params = {}, config = {}) => {
const eventTarget = new EventTarget();
(async () => {
let content = "";
for await (const chunk of llama(prompt, params, config)) {
if (chunk.data) {
content += chunk.data.content;
eventTarget.dispatchEvent(new CustomEvent("message", { detail: chunk.data }));
}
if (chunk.data.generation_settings) {
eventTarget.dispatchEvent(new CustomEvent("generation_settings", { detail: chunk.data.generation_settings }));
}
if (chunk.data.timings) {
eventTarget.dispatchEvent(new CustomEvent("timings", { detail: chunk.data.timings }));
}
}
eventTarget.dispatchEvent(new CustomEvent("done", { detail: { content } }));
})();
return eventTarget;
}
// Call llama, return a promise that resolves to the completed text. This does not support streaming
//
// Example:
//
// llamaPromise(prompt).then((content) => {
// document.write(content)
// })
//
// or
//
// const content = await llamaPromise(prompt)
// document.write(content)
//
export const llamaPromise = (prompt, params = {}, config = {}) => {
return new Promise(async (resolve, reject) => {
let content = "";
try {
for await (const chunk of llama(prompt, params, config)) {
content += chunk.data.content;
}
resolve(content);
} catch (error) {
reject(error);
}
});
};
/**
* (deprecated)
*/
export const llamaComplete = async (params, controller, callback) => {
for await (const chunk of llama(params.prompt, params, { controller })) {
callback(chunk);
}
}
// Get the model info from the server. This is useful for getting the context window and so on.
export const llamaModelInfo = async () => {
if (!generation_settings) {
generation_settings = await fetch("/model.json").then(r => r.json());
}
return generation_settings;
}

Binary file not shown.

Before

Width:  |  Height:  |  Size: 34 KiB

File diff suppressed because one or more lines are too long

View file

@ -1,112 +0,0 @@
const SPACE_RULE = '" "?';
const PRIMITIVE_RULES = {
boolean: '("true" | "false") space',
number: '("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? space',
integer: '("-"? ([0-9] | [1-9] [0-9]*)) space',
string: ` "\\"" (
[^"\\\\] |
"\\\\" (["\\\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
)* "\\"" space`,
null: '"null" space',
};
const INVALID_RULE_CHARS_RE = /[^\dA-Za-z-]+/g;
const GRAMMAR_LITERAL_ESCAPE_RE = /[\n\r"]/g;
const GRAMMAR_LITERAL_ESCAPES = {'\r': '\\r', '\n': '\\n', '"': '\\"'};
export class SchemaConverter {
constructor(propOrder) {
this._propOrder = propOrder || {};
this._rules = new Map();
this._rules.set('space', SPACE_RULE);
}
_formatLiteral(literal) {
const escaped = JSON.stringify(literal).replace(
GRAMMAR_LITERAL_ESCAPE_RE,
m => GRAMMAR_LITERAL_ESCAPES[m]
);
return `"${escaped}"`;
}
_addRule(name, rule) {
let escName = name.replace(INVALID_RULE_CHARS_RE, '-');
let key = escName;
if (this._rules.has(escName)) {
if (this._rules.get(escName) === rule) {
return key;
}
let i = 0;
while (this._rules.has(`${escName}${i}`)) {
i += 1;
}
key = `${escName}${i}`;
}
this._rules.set(key, rule);
return key;
}
visit(schema, name) {
const schemaType = schema.type;
const ruleName = name || 'root';
if (schema.oneOf || schema.anyOf) {
const rule = (schema.oneOf || schema.anyOf).map((altSchema, i) =>
this.visit(altSchema, `${name}${name ? "-" : ""}${i}`)
).join(' | ');
return this._addRule(ruleName, rule);
} else if ('const' in schema) {
return this._addRule(ruleName, this._formatLiteral(schema.const));
} else if ('enum' in schema) {
const rule = schema.enum.map(v => this._formatLiteral(v)).join(' | ');
return this._addRule(ruleName, rule);
} else if (schemaType === 'object' && 'properties' in schema) {
// TODO: `required` keyword (from python implementation)
const propOrder = this._propOrder;
const propPairs = Object.entries(schema.properties).sort((a, b) => {
// sort by position in prop_order (if specified) then by key
const orderA = typeof propOrder[a[0]] === 'number' ? propOrder[a[0]] : Infinity;
const orderB = typeof propOrder[b[0]] === 'number' ? propOrder[b[0]] : Infinity;
return orderA - orderB || a[0].localeCompare(b[0]);
});
let rule = '"{" space';
propPairs.forEach(([propName, propSchema], i) => {
const propRuleName = this.visit(propSchema, `${name}${name ? "-" : ""}${propName}`);
if (i > 0) {
rule += ' "," space';
}
rule += ` ${this._formatLiteral(propName)} space ":" space ${propRuleName}`;
});
rule += ' "}" space';
return this._addRule(ruleName, rule);
} else if (schemaType === 'array' && 'items' in schema) {
// TODO `prefixItems` keyword (from python implementation)
const itemRuleName = this.visit(schema.items, `${name}${name ? "-" : ""}item`);
const rule = `"[" space (${itemRuleName} ("," space ${itemRuleName})*)? "]" space`;
return this._addRule(ruleName, rule);
} else {
if (!PRIMITIVE_RULES[schemaType]) {
throw new Error(`Unrecognized schema: ${JSON.stringify(schema)}`);
}
return this._addRule(
ruleName === 'root' ? 'root' : schemaType,
PRIMITIVE_RULES[schemaType]
);
}
}
formatGrammar() {
let grammar = '';
this._rules.forEach((rule, name) => {
grammar += `${name} ::= ${rule}\n`;
});
return grammar;
}
}