add /completion.js file to make it easy to use the server from js

This commit is contained in:
Tobias Lütke 2023-07-02 15:56:10 -04:00
parent 8e1b04d319
commit dd1df3f31c
No known key found for this signature in database
GPG Key ID: 1FC0DBB14164709A
6 changed files with 793 additions and 694 deletions

View File

@ -0,0 +1,193 @@
unsigned char completion_js[] = {
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};
unsigned int completion_js_len = 2275;

View File

@ -4,11 +4,19 @@
# get the directory of this script file
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
PUBLIC=$DIR/public
OUTPUT=$DIR/templats.hpp
echo "// Generated file, do not edit" > $OUTPUT
echo "" > $OUTPUT
echo "download js bundle files"
curl https://npm.reversehttp.com/@preact/signals-core,@preact/signals,htm/preact,preact,preact/hooks > $PUBLIC/index.js
echo >> $PUBLIC/index.js # add newline
echo "generate hpp files"
xxd -n index_html -i $PUBLIC/index.html > $DIR/index.html.hpp
xxd -n index_js -i $PUBLIC/index.js > $DIR/index.js.hpp
FILES=$(ls $PUBLIC)
for FILE in $FILES; do
func=$(echo $FILE | tr '.' '_')
echo "generate $FILE.hpp ($func)"
xxd -n $func -i $PUBLIC/$FILE > $DIR/$FILE.hpp
done

File diff suppressed because it is too large Load Diff

View File

@ -0,0 +1,81 @@
const paramDefaults = {
stream: true,
n_predict: 500,
temperature: 0.2,
stop: ["</s>"]
};
/**
* This function completes the input text using a llama dictionary.
* @param {object} params - The parameters for the completion request.
* @param {object} controller - an instance of AbortController if you need one, or null.
* @param {function} callback - The callback function to call when the completion is done.
* @returns {string} the completed text as a string. Ideally ignored, and you get at it via the callback.
*/
export const llamaComplete = async (params, controller, callback) => {
if (!controller) {
controller = new AbortController();
}
const completionParams = { ...paramDefaults, ...params };
// we use fetch directly here becasue the built in fetchEventSource does not support POST
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 = "";
try {
let cont = true;
while (cont) {
const result = await reader.read();
if (result.done) {
break;
}
// sse answers in the form multiple lines of: value\n with data always present as a key. in our case we
// mainly care about the data: key here, which we expect as json
const text = decoder.decode(result.value);
// parse all sse events and add them to result
const regex = /^(\S+):\s(.*)$/gm;
for (const match of text.matchAll(regex)) {
result[match[1]] = match[2]
}
// since we know this is llama.cpp, let's just decode the json in data
result.data = JSON.parse(result.data);
content += result.data.content;
// callack
if (callback) {
cont = callback(result) != false;
}
// if we got a stop token from server, we will break here
if (result.data.stop) {
break;
}
}
} catch (e) {
console.error("llama error: ", e);
throw e;
}
finally {
controller.abort();
}
return content;
}

View File

@ -63,12 +63,13 @@
}
</style>
<script type="module">
import {
html, h, signal, effect, computed, render, useSignal, useEffect, useRef
} from '/index.js';
import { llamaComplete } from '/completion.js';
const transcript = signal([])
const chatStarted = computed(() => transcript.value.length > 0)
@ -93,79 +94,13 @@
return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(params[key]));
}
const llamaCompletionStream = async (params) => {
controller.value = new AbortController();
const sig = controller.value.signal;
const data = JSON.stringify({
stream: true,
prompt: params.prompt,
n_predict: parseInt(nPredict.value),
temperature: parseFloat(temperature.value),
stop: ["</s>", template("{{bot}}:"), template("{{user}}:")]
});
// we use fetch directly here becasue the built in fetchEventSource does not support POST
const response = await fetch("/completion", {
method: 'POST',
body: data,
headers: {
'Connection': 'keep-alive',
'Content-Type': 'application/json',
'Accept': 'text/event-stream'
},
signal: sig,
});
const reader = response.body.getReader();
const decoder = new TextDecoder();
try {
while (true) {
const result = await reader.read();
if (result.done) {
break;
}
// sse answers in the form multiple lines of: value\n with data always present as a key. in our case we
// mainly care about the data: key here, which we expect as json
const text = decoder.decode(result.value);
// parse all sse events and add them to result
const regex = /^(\S+):\s(.*)$/gm;
for (const match of text.matchAll(regex)) {
result[match[1]] = match[2]
}
// since we know this is llama.cpp, let's just decode the json in data
result.data = JSON.parse(result.data);
// callack
params.onmessage(result);
// if we got a stop token from server, we will break here
if (result.data.stop) {
break;
}
}
} catch (e) {
console.error(e);
throw e;
}
finally {
controller.value.abort();
controller.value = null;
}
}
// send message to server
const chat = async (msg) => {
if (controller.value) {
console.log('already running...');
return;
}
controller.value = new AbortController();
transcript.value = [...transcript.value, ['{{user}}', msg]];
const payload = template(chatTemplate.value, {
@ -176,19 +111,25 @@
let currentMessage = '';
let history = transcript.value;
llamaCompletionStream({
const params = {
prompt: payload,
onmessage: (message) => {
const data = message.data;
currentMessage += data.content;
n_predict: parseInt(nPredict.value),
temperature: parseFloat(temperature.value),
stop: ["</s>", template("{{bot}}:"), template("{{user}}:")],
}
transcript.value = [...history,["{{bot}}", currentMessage]];
await llamaComplete(params, controller.value, (message) => {
const data = message.data;
currentMessage += data.content;
if (data.stop) {
console.log("-->", data, ' response was:', currentMessage, 'transcript state:', transcript.value);
}
transcript.value = [...history,["{{bot}}", currentMessage]];
if (data.stop) {
console.log("-->", data, ' response was:', currentMessage, 'transcript state:', transcript.value);
}
});
})
controller.value = null;
}
function MessageInput() {

View File

@ -13,6 +13,7 @@
// auto generated files (update with ./deps.sh)
#include "index.html.hpp"
#include "index.js.hpp"
#include "completion.js.hpp"
#ifndef SERVER_VERBOSE
#define SERVER_VERBOSE 1
@ -872,6 +873,7 @@ static void log_server_request(const Request & req, const Response & res) {
});
}
int main(int argc, char ** argv) {
// own arguments required by this example
gpt_params params;
@ -923,6 +925,12 @@ int main(int argc, char ** argv) {
return false;
});
// this is only called if no index.html is found in the public --path
svr.Get("/completion.js", [](const Request &, Response & res) {
res.set_content(reinterpret_cast<const char*>(&completion_js), completion_js_len, "application/javascript");
return false;
});
svr.Post("/completion", [&llama](const Request & req, Response & res) {
auto lock = llama.lock();
@ -1078,6 +1086,12 @@ int main(int argc, char ** argv) {
res.status = 500;
});
svr.set_error_handler([](const Request &, Response & res) {
res.set_content("File Not Found", "text/plain");
res.status = 404;
});
// set timeouts and change hostname and port
svr.set_read_timeout(sparams.read_timeout);
svr.set_write_timeout(sparams.write_timeout);