markshust

Set up GitHub Actions to handle deployments for your Laravel application. This has similar functionality to Laravel Forge without the recurring cost. GitHub Actions can be used to automate your deployment process on every push to your repository.

Prerequisites

1. Server Access: Ensure you have SSH access to your server where the Laravel app will be deployed.
2. Secrets: Store sensitive information such as your server's IP address, SSH username, and private SSH key in GitHub Secrets. Go to your GitHub repository, navigate to "Settings" > "Secrets and variables" > "Actions", and add the following secrets:
   • DEPLOY_SERVER_IP: Your server's IP address.
   • DEPLOY_SERVER_USER: Your SSH username.
   • DEPLOY_SERVER_KEY: Your private SSH key. Make sure this key is authorized to access your server (~/.ssh/authorized_keys).

markshust

#!/bin/bash

# Function to cleanup processes on script exit
cleanup() {
    echo "Cleaning up..."
    ./vendor/bin/sail down
    kill "$(jobs -p)" 2>/dev/null
    exit
}

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)):