kublermdk

## Converts Speech to Text using the OpenAI Whisper (English medium size ~3GB) AI model
## NOTE: You'll want to update the file (e.g "TheUnaccountabilityMachine.mp3") to whatever mp3, flac or wav file that you want processed.

## -- Instal requirements by installing Python 3 and pip then run:
# pip install torch transformers librosa soundfile ffmpeg

## -- Run in Windows (after updating the filenames in the code below) using:
# cd C:\workspace\whisper-huggingface\
# python basic-pipe-whisper.py

kublermdk

<?php
/**
 * @link https://github.com/creocoder/yii2-flysystem
 * @copyright Copyright (c) 2015 Alexander Kochetov
 * @license http://opensource.org/licenses/BSD-3-Clause
 *
 * Updated by Michael Kubler @kublermdk to support VISIBILITY_NOT_SET by using the different Google Storage Adapter
 */

namespace app\adaptors;

kublermdk

<?php

namespace app\adaptors;

use Google\Cloud\Storage\Acl;
use League\Flysystem\AdapterInterface;

/**
 * @package app\adaptors\GoogleStorageAdapter
 * Updated by Michael Kubler @kublermdk to support VISIBILITY_NOT_SET

kublermdk

<?php
include_once './vendor/autoload.php';

use Stripe\ApiRequestor;
use Stripe\Stripe;


// ---------------------------------------
//    Stripe Mock Setup
// ---------------------------------------

kublermdk

#!/bin/bash

## ============================
##    Stripe Mock Install
## ============================
# @license http://opensource.org/licenses/BSD-3-Clause
# The Go language is used for the Stripe Mock server
# Can't just run > "sudo apt-get install golang"
# The Ubuntu default is go v1.6 which isn't supported, you get an error about sort.Slice e.g:
#    src/github.com/stripe/stripe-mock/server/server.go:478: undefined: sort.Slice

kublermdk

Keybase proof

I hereby claim:

• I am kublermdk on github.
• I am kublermdk (https://keybase.io/kublermdk) on keybase.
• I have a public key whose fingerprint is A4E7 8586 B2E9 C893 899E A0E6 C1C8 2A76 4A27 EB4F

To claim this, I am signing this object:

kublermdk

<?php

// --------------------------------------------------
//   Example Google Cloud AutoML Prediction
// --------------------------------------------------
// @author Michael Kubler
// @date 2020-10-07th
// This is a cut down gist of what you need to
// make a Google Cloud AutoML (Auto Machine Learning)
// prediction request, based off an already uploaded

kublermdk

// -----------------------------------------------------------------
//   Applying aggregation pipeline #1 Customer - HAVE
// -----------------------------------------------------------------
db.command({
    "aggregate": "app.customer",
    "pipeline": [{
        "$match": {
            "$and": [{
                // -- Ensure the customers we are selecting are active and have a Firebase token so we can send them a push notification
                "status": "active",

kublermdk

{
  "customer": {
    "_id": "5eb3d000af2f5c073c089cd2", // ObjectId
    "name": "Michael Kubler",
    "dateOfBirth": 467683200, // Unix time
    "state": "SA",
    "gender": "male",
    "status": "active",
    "createdAt": 1588760101, // Unix time
    "updatedAt": 1588760914 // Unix time

kublermdk

<?php

/**
 * @return string database name
 */
function getDefaultDatabaseName($dsn)
{
    if (preg_match('/^mongodb(:|\+srv:)\\/\\/.+\\/([^?&]+)/s', $dsn, $matches)) {
        // Updated Pattern: /^mongodb(:|\+srv:)\\/\\/.+\\/([^?&]+)/s
        // Original Pattern: '/^mongodb:\\/\\/.+\\/([^?&]+)/s'