Fionn Fitzmaurice fionn

Tested on macOS Sonoma Developer beta 2 (23A5276g)

Build `libsk-libfido2.so`

	# This script will transcribe an audio file (mp3, wav, etc.) to text and then clean the text using a local LLM model via Ollama. Technically, this script will work with any LLM that supports the standard OpenAI bindings with minor adjustments.

	# GETTING STARTED:
	# 1. Install required python packages (pip install openai python-dotenv)
	# 2. Git clone a copy of ggerganov/whisper (https://github.com/ggerganov/whisper.cpp)
	# 3. Build the whisper binary (see the whisper.cpp README for instructions)
	# 4. Download one of the whisper models (largev2 is the most accurate for all languages, though the base model works reasonably well for English).
	# 5. Install ffmpeg (brew install ffmpeg on macOS, apt-get install ffmpeg)
	# 6. Install ollama (https://ollama.com/download)
	# 7. Download an LLM model (https://ollama.com/library)

	---Utility for keymap creation.
	---@param lhs string
	---@param rhs string\|function
	---@param opts string\|table
	---@param mode? string\|string[]
	local function keymap(lhs, rhs, opts, mode)
	opts = type(opts) == 'string' and { desc = opts }
	or vim.tbl_extend('error', opts --[[@as table]], { buffer = bufnr })
	mode = mode or 'n'
	vim.keymap.set(mode, lhs, rhs, opts)

	#--------------------------------------------------------------------------
	# Configuration
	#--------------------------------------------------------------------------

	# Use Vi mode
	setw -g mode-keys vi

	# Increase scrollback buffer size
	set -g history-limit 10000

	"""
	MIT License

	Copyright (c) 2023 David Buchanan

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is

	twitter.com##div[data-testid="cellInnerDiv"]:has(h2):has-text(Discover more) ~ *
	twitter.com##div[data-testid="cellInnerDiv"]:has(h2):has-text(Discover more)

	[[ -f "$HOME/.profile" ]] && source "$HOME/.profile"
	[[ $- == i && -f "$HOME/.bashrc" ]] && source "$HOME/.bashrc"

	#!/bin/bash

	# Generate a `:something-intensifies:` Slack emoji, given a reasonable image
	# input. I recommend grabbing an emoji from https://emojipedia.org/

	set -euo pipefail

	# Number of frames of shaking
	count=10
	# Max pixels to move while shaking