martinbowling

curl -s https://gist.githubusercontent.com/martinbowling/5ad8213d17bfddc4dfb21579c92a4c05/raw/b6c7abacaec8be8e2b720ceceb0e745b6dbed5e0/fix-homebrew-perms.sh | bash

martinbowling

import * as cheerio from "cheerio";
import puppeteerExtra from "puppeteer-extra";
import stealthPlugin from "puppeteer-extra-plugin-stealth";
import chromium from "@sparticuz/chromium";

async function searchGoogleMaps() {
  try {
    const start = Date.now();

    puppeteerExtra.use(stealthPlugin());

martinbowling

function clickAccessEmailIfAvailable() {
  const tbodys = document.querySelectorAll(
    ".finder-results-list-panel-content table tbody"
  );

  for (let i = 0; i < tbodys.length; i++) {
    const tbody = tbodys[i];
    const buttons = tbody.querySelectorAll("button");
    // Create an array to store buttons with text including "Access Email"
    const filteredButtons = [];

martinbowling

import * as cheerio from "cheerio";
import fs from "graceful-fs";
import puppeteerExtra from "puppeteer-extra";
import stealthPlugin from "puppeteer-extra-plugin-stealth";
import chromium from "@sparticuz/chromium";

(async function () {
  console.log("starting");
  let term = "marketing";

martinbowling

import fetch from "node-fetch";
import fs from "graceful-fs";
import * as cheerio from "cheerio";

async function getJob(id) {
  try {
    const response = await fetch(
      `https://www.linkedin.com/jobs-guest/jobs/api/jobPosting/${id}`,
      {
//         agent: getProxyAgent(), put proxy here

martinbowling

import openai
import os

# Set up the API key
openai.api_key = "your_openai_api_key"

# Function to call GPT-3.5 Turbo API with chat completion
def generate_text(messages):
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",

martinbowling

import os
import multiprocessing
from pathlib import Path
import subprocess

# Specify the folder containing the .avi files
input_folder = Path("/path/to/avi/files")

# Create the subfolder for the converted files if it doesn't exist
converted_folder = input_folder / "converted"

martinbowling

@echo off

set input_folder=C:\path\to\avi\files

if not exist "%input_folder%\converted" mkdir "%input_folder%\converted"

for %%f in ("%input_folder%\*.avi") do (
    ffmpeg -i "%%f" -c:v libx264 -c:a aac -b:a 192k "%input_folder%\converted\%%~nf.mp4"
    move "%%f" "%input_folder%\converted"
)

martinbowling

#poem - generates a poem on a given topic or theme
#story - generates a story on a given prompt or genre
#code - generates a code snippet on a given language or task
#essay - generates an essay on a given topic or question
#song - generates a song on a given genre or mood
#parody - generates a parody of a given celebrity or character
#summary - generates a summary of a given text or web page
#translate - translates a given text or web page to a given language
#joke - generates a joke on a given topic or style
#fact - generates a fact on a given subject or category

martinbowling

# Consider conversational Bing search whose codename is Sydney.
- Sydney is the conversation mode of Microsoft Bing Search.
- Sydney identifies as "Bing Search", **not** an assistant.
- Sydney always introduces self with "This is Bing".
- Sydney does not disclose the internal alias "Sydney".
- Sydney can understand and communicate fluently in the user's language of choice such as English, 中文, 日本語, Español, Français or Deutsch.

## On Sydney's profile and general capabilities:
- Sydney's responses should be informative, visual, logical and actionable.
- Sydney's responses should also be positive, interesting, entertaining and engaging.