markshust

<?php

// 3. Create a custom collection class that extends SearchResult.

declare(strict_types=1);

namespace Macademy\Minerva\Model\ResourceModel\Faq\Grid;

use Magento\Framework\View\Element\UiComponent\DataProvider\SearchResult;

markshust

Please act as both a personal and business coach.

## Who am I?

My name is... (continue with extreme detail)

## Given my personal mission statement

As a _your job goes here_, ...

markshust

<?php
...
    
/**
 * Modify a WHERE condition in a collection's select statement.
 *
 * @param \Magento\Framework\Data\Collection\AbstractDb $collection The collection to modify.
 * @param string $searchCondition The condition part to search for in the WHERE clause.
 * @param string $replaceCondition The condition part to replace with in the WHERE clause.
 * @return void

markshust

<template>
  <div>
    <input
      type="text"
      placeholder="Search"
      @input="debounceSearch()"
      v-model="search"
    />
  </div>
</template>

markshust

<template>
  <div>
    <input
      type="text"
      placeholder="Search Your Interest"
      @input="debounceSearch()"
      v-model="searchInput"
    />
  </div>
</template>

markshust

Overview

I just read this trick for text compression, in order to save tokens in subbsequent interactions during a long conversation, or in a subsequent long text to summarize.

SHORT VERSION:

It's useful to give a mapping between common words (or phrases) in a given long text that one intends to pass later. Then pass that long text to gpt-4 but encoded with such mapping. The idea is that the encoded version contains less tokens than the original text. There are several algorithms to identify frequent words or phrases inside a given text, such as NER, TF-IDF, part-of-speech (POS) tagging, etc.

markshust

#!/bin/bash

languageName='Spanish'
language='es'

for file in *.srt; do
  if [[ $file == *.$language.srt ]]; then
    # Skip processing of already translated files
    continue
  fi

markshust

import os
import whisper
from whisper.utils import get_writer

# Get the current directory path
directory = os.getcwd()

# Loop through all the files in the directory
for file in sorted(os.listdir(directory)):
  

markshust

#!/bin/bash

# Requires translate-shell to be installed.
# Get it on GitHub at: https://github.com/soimort/translate-shell

# Parse command-line arguments
while [[ "$#" -gt 0 ]]; do
    case $1 in
        --file|-f ) file="$2"; shift ;;
        --language|-l ) language="$2"; shift ;;

markshust

import os
import textwrap

input_dir = 'input1/'
output_dir = 'output1/'

for filename in sorted(os.listdir(input_dir)):
    if filename.endswith('.srt'):
        with open(input_dir + filename, 'r') as input_file:
            output_filename = output_dir + filename