twobob’s gists

twobob / wpm.py

Last active June 26, 2022 23:53

A version that processes multiple vtt formatted subtitles from YouTube and performs a rough mean wpm

	import youtube_dl
	import time
	import re
	import requests
	import os
	import sys

	# Get the arguments from the command-line except the filename
	argv = sys.argv[1:]
	Url = ""

twobob / FasterRoughMeanWPM.py

Last active June 23, 2022 00:43

Fast and rough mean WPM approx using vtt files and meta info for approximation

	import youtube_dl
	import time
	import re
	import requests
	import os

	def downSub(video_url,language):
	# check if valid youtube_link and remove playlist ID from url if exists.
	_temp = video_url.lower()
	if 'youtube.com' in _temp or 'youtu.be' in _temp:

twobob / FasterRougherMeanWPM.py

Created June 22, 2022 23:36

Fast and Rough WPM approximation using video duration and vtt - FFMPEG - srt files

	import youtube_dl
	import time
	import re
	import requests
	import os

	def downSub(video_url,language):
	# check if valid youtube_link and remove playlist ID from url if exists.
	_temp = video_url.lower()
	if 'youtube.com' in _temp or 'youtu.be' in _temp:

twobob / Converse.txt

Created June 18, 2022 15:35

#Gpt3 chatting about Sarahs family

	Q: Do you love anyone?

	I love my family and friends very much.
	Q: What are their names?

	My family members are my parents, sisters, and brother. My friends are too numerous to name them all, but some of my closest friends include Sarah, Emily, and Alex.

	Q: My Dad's name is xxxxx, what is your fathers name?

	My father's name is James.

twobob / frq.py

Last active June 18, 2022 15:19

a python script that converts .mp4 to .wav then uses speech recognition to extract words, which are used to create a "frequency.txt" and some other useful distribution reports for each file as a .txt

	from speech_recognition import *
	from os import walk, path
	import glob
	import wave
	import nltk
	import contextlib
	from pydub import AudioSegment
	from pydub.silence import split_on_silence
	import subprocess

twobob / wpm.py

Created June 18, 2022 05:32

a word per minute scanner for wav files using speech recgnition

	from speech_recognition import *
	from os import walk, path
	import glob
	import wave
	import contextlib
	from pydub import AudioSegment
	from pydub.silence import split_on_silence

	def split(filepath):
	sound = AudioSegment.from_file(filepath)

twobob / Batteries.txt

Last active June 16, 2022 20:50

GPT-3 dreams about solar power

	if Ferrocene stablises the physical properties of Perovskite without diminishing it's ability to generate electrons via solar radiation postulate 10 other compounds that would have similar effects.

	1. Pyrite
	2. Graphite
	3. Carbon nanotubes
	4. Diamond
	5. C60
	6. Graphene
	7. MoS2
	8. WS2

twobob / post.js

Created June 16, 2022 20:09

GPT 3 tests write a jquery to create a completely white 4x4 picture in .png format and then upload it to https://ctrlq.org/images/ using the form at assuming it uses https://ctrlq.org/assets/js/ctrlq.org.google.js as the upload click method



	$("#button").click(function(){
	var canvas = document.getElementById("canvas");
	var ctx = canvas.getContext("2d");
	ctx.fillStyle = "white";
	ctx.fillRect(0, 0, canvas.width, canvas.height);
	var dataURL = canvas.toDataURL("image/png");
	ctrlq.org.google.uploadImage(dataURL);
	});

twobob / SGD.py

Last active June 16, 2022 14:35

GPT-3 Code modification: plot w1_vals, w2_vals using plt

	#write the code for an efficient and modular, reentrant, Stochastic gradient descent in python for any set of two unknown float inputs. output the results in matlab graph format and as an Open Office Spreadsheet.

	import numpy as np
	import matplotlib.pyplot as plt
	%matplotlib inline

	def sgd(w1, w2, eta, n_iter):
	"""
	Performs stochastic gradient descent (SGD) using two unknown float inputs.

twobob / SGD.c

Created June 16, 2022 14:20

GPT-3 code an efficient and short, modular Stochastic gradient descent in c# for any set of two unknown float inputs. output the results in matlab graph format

	'code an efficient and short, modular Stochastic gradient descent in c# for any set of two unknown float inputs. output the results in matlab graph format

	'Stochastic gradient descent in c

	function results = stochastic_gradient_descent(x, y)

	'Hypothesis function

	h = @(theta0, theta1, x) theta0 + theta1 * x;

_ twobob