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BOUNDING_BOX_TOOL_NAME = "capture_bounding_boxes"
BOUNDING_BOX_TOOL = {
    "type": "function",
    "name": BOUNDING_BOX_TOOL_NAME,
    "strict": True,
    "description": (
        "Capture normalized bounding boxes for salient regions in the provided image. "
        "Each box should map to a meaningful real-world entity or text block and use clockwise point order."
    ),
    "parameters": {

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import React, { useState, useEffect, useRef } from ‘react’;

const TextCube = () => {
const [faceTexts, setFaceTexts] = useState([’’, ‘’, ‘’, ‘’, ‘’, ‘’]);
const [prompt, setPrompt] = useState(’’);
const [isGenerating, setIsGenerating] = useState(false);
const streamingIntervals = useRef([]);

// Maximum characters to display per face
const maxChars = 140;

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using System;
using System.Xml;
using System.Net;
using System.IO;
using System.Text;
namespace AconexSampleSheet
{
    class Program
    {
        static void Main(string[] args)

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Nanonets OCR Setup Guide

This guide will help you set up and run the Nanonets OCR model locally for PDF processing.

GitHub Gist: https://gist.github.com/kordless/652234bf0b32b02e39cef32c71e03400

Quick Start (Complete Setup)

# 0. Create and activate conda environment first

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I have been utilizing artificial intelligence to enhance and optimize my codebases. After evaluating various models, applications, and editors, I find the claude.ai interface with a Pro Account to be the most effective. Here’s the approach I’ve developed to achieve optimal results:

This gist contains a carefully crafted prompt and a script designed to convert your entire Laravel codebase (excluding the resources folder, which can be easily added if needed) into a TXT file with the following structure:

<File Start: ./path/filename.extension> Content of file <End File: ./path/filename.extension>

To implement this method:

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#!/bin/bash

# Check if a GitHub URL is provided as an argument
if [ -z "$1" ]; then
    echo "Usage: $0 <github_url>"
    exit 1
fi

# Store the GitHub URL
GIT_URL="$1"

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// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
(() => {
  const SHOW_SIDES = false; // color sides of DOM nodes?
  const COLOR_SURFACE = true; // color tops of DOM nodes?
  const COLOR_RANDOM = false; // randomise color?
  const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
  const MAX_ROTATION = 180; // set to 360 to rotate all the way round
  const THICKNESS = 20; // thickness of layers
  const DISTANCE = 10000; // ¯\\_(ツ)_/¯

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#!/bin/bash

# Check if ffmpeg is installed
if ! command -v ffmpeg &> /dev/null; then
    echo "Error: ffmpeg is not installed or not in the PATH." >&2
    echo "Please install ffmpeg to use this script." >&2
    exit 1
fi

interval=3

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#!/bin/bash

# Check if interval argument is provided
if [ -z "$1" ]; then
  echo "Usage: $0 -int <interval_in_seconds>"
  exit 1
fi

# Extract the interval value
interval=$2

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//
// Poor Man's Web Server with Regex Routing in 177 LOC of C#
//
// This is a simple standalone http server that handles routing with regular expressions 
// matching. For each request the router passes capture groups to handlers as a data dictionary.
//
// Router implementation constructs a single composite regex to match request path, based on
// https://nikic.github.io/2014/02/18/Fast-request-routing-using-regular-expressions.html
//
// One can use `WebServer` and `Router` classes alone, just has to register all custom