PaperNick

from enum import Enum, EnumMeta, IntEnum, unique


def not_callable_in_template(cls):
    """Disable the callable behavior of Enum in django templates"""
    cls.do_not_call_in_templates = True
    return cls


class ChoiceEnumMeta(EnumMeta):

PaperNick

How to install

#!/bin/bash

current_branch="$(git symbolic-ref --short HEAD)"

FORBIDDEN_BRANCHES=(master develop)
for forbidden_branch in "${FORBIDDEN_BRANCHES[@]}"; do
 if [ "$current_branch" == "$forbidden_branch" ]; then

PaperNick

Dependencies

• NodeJS

Setup

mkdir cez_checker
cd cez_checker/
npm init --yes

PaperNick

#!/bin/bash

# Function taken from https://gist.github.com/cdown/1163649
# Install "urlencode" command from the "gridsite-clients" package if it doesn't work
urlencode() {
    # Usage: urlencode <string>

    old_lc_collate=$LC_COLLATE
    LC_COLLATE=C

PaperNick

/**
 * The MIT License (MIT)
 * Copyright (c) 2022 PaperNick
 *
 * Resouces used:
 * https://github.com/auth0/node-jwks-rsa
 * https://github.com/auth0/node-jsonwebtoken
 * https://auth0.com/blog/navigating-rs256-and-jwks/
 * https://gist.github.com/westmark/faee223e05bcbab433bfd4ed8e36fb5f
 * https://auth0.com/blog/critical-vulnerabilities-in-json-web-token-libraries/

PaperNick

Whisper.cpp transcribe script

This is a helper script to make the process of transcribing with https://github.com/ggerganov/whisper.cpp model easier.

Installation

1. Clone the https://github.com/ggerganov/whisper.cpp repo
2. Follow the setup instructions
3. Paste the transcribe.sh script from this gist in the root dir of whisper.cpp project

PaperNick

from pathlib import Path


special_chars = ('<', '>', ':', '"', '/', '\\', '|', '?', '*', '/')


def replace_all(text, items):
    for i in items:
        text = text.replace(i, '')
    return text

PaperNick

Faster Whisper transcribe script

This is a helper script to make the process of transcribing with guillaumekln/faster-whisper model easier.

Installation

1. Create a venv python -m venv venv
2. Activate the venv source venv/bin/active
3. Install faster-whisper from PyPI pip install faster-whisper
4. Download the faster-whisper-large-v2 model from Hugging Face