iceener

import { markdownToBlocks } from '@tryfabric/martian';
import { NotionToMarkdown } from 'notion-to-md';

@Controller('/api/tools')
export class ToolsController {
    @Post('/markdown-notion')
    async convert(@Body() body) {
        return markdownToBlocks(body.markdown);
    }

iceener

<?php
require_once('../gpt3turbo.php');

$question = 'what Buddha said about happines?';

// wyciągamy słowa kluczowe
$keywords = $gpt3->query('return up to 2 keywords (only nouns) separated by spaces for this sentence: '.$question);

// jeśli GPT użyje kropki lub przecinka jako spearatora, to zmieniamy go na spację
$keywords = preg_replace('/[,.]+/',' ',$keywords);

iceener

print("hello")

iceener

#If WinActive("ahk_exe msedge.exe")
^+y::
    Clipboard := ""
    Send ^l
    Sleep, 50
    Send ^c
    ClipWait, 2
    if ErrorLevel
    {
        MsgBox, Failed to copy URL.

iceener

tell application "System Events"
	set frontmostApplication to name of first application process whose frontmost is true
	set browserName to ""
	
	if frontmostApplication is "Arc" then
		tell application "Arc" to return URL of active tab of window 1
	else if frontmostApplication is "Google Chrome" then
		tell application "Google Chrome" to return URL of active tab of window 1
	else if frontmostApplication is "Brave Browser" then
		tell application "Brave Browser" to return URL of active tab of window 1

iceener

tell application "System Events"
	set frontmostApplication to name of first application process whose frontmost is true
	set browserName to ""
	
	if frontmostApplication is "Arc" then
		tell application "Arc" to return title of active tab of window 1
	else if frontmostApplication is "Google Chrome" then
		tell application "Google Chrome" to return title of active tab of window 1
	else if frontmostApplication is "Brave Browser" then
		tell application "Brave Browser" to return title of active tab of window 1

iceener

curl -s <https://api.openai.com/v1/completions> \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer $OPENAI_API_KEY" \\
  -d '{
  "model": "text-davinci-003",
  "prompt": "Hello",
  "temperature": 0.7,
  "max_tokens": 256,
  "top_p": 1,
  "frequency_penalty": 0,

iceener

/opt/homebrew/bin/node -e "(async () => {const response = await fetch('$KMVAR_webhook', {method: 'POST', headers: {'Content-Type': 'application/json'}, body: JSON.stringify($KMVAR_json)});const json = await response.json();console.log(JSON.stringify(json));})()"

iceener

const { encode } = require('@nem035/gpt-3-encoder')

exports.handler = async (event, context) => {

    if (event.httpMethod === 'POST') {

        try {
            const payload = JSON.parse(event.body);
            const text = payload.text;
            return {

iceener

const API_URL = "https://api.openai.com/v1/chat/completions";
const MAX_TOKENS = 1500;
const TEMPERATURE = 0.5;
const SYSTEM_PROMPT = 'Act as assistant';
const MESSAGES = ["hello", "hi!", "how are you?"];

async function openAICompletion(msg) {
  const options = {
    method: "POST",
    headers: {