├── LICENSE ├── Norvig Word Library.txt ├── README.md ├── arial.ttf ├── keyboard.py ├── runner.sh └── setup ├── create_venv.sh └── requirements.txt /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 2, June 1991 3 | 4 | Copyright (C) 1989, 1991 Free Software Foundation, Inc., 5 | 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA 6 | Everyone is permitted to copy and distribute verbatim copies 7 | of this license document, but changing it is not allowed. 8 | 9 | Preamble 10 | 11 | The licenses for most software are designed to take away your 12 | freedom to share and change it. By contrast, the GNU General Public 13 | License is intended to guarantee your freedom to share and change free 14 | software--to make sure the software is free for all its users. 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If this is what you want to do, use the GNU Lesser General 339 | Public License instead of this License. 340 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | #probability_keyboard 2 | 3 | An application of a [Variable-order Markov Chain Letter Prediction](http://www.stat.purdue.edu/~mdw/CSOI/MarkovLab.html), this app displays a keyboard "heatmap" which shows the likeliest characters to follow a dynamic string entry. 4 | 5 | Running **procEntryMap**() from the *simplified_script* module allows you to enter a word, letter by letter, and see how the most likely next letter changes as more letters are added to the string. A keyboard heatmap with these probabilities pops up onscreen after each letter is added. 6 | 7 | **Dependencies**: 8 | * Python Imaging Library (PIL): **Image**, **ImageDraw**, **ImageFont** 9 | * Numpy 10 | 11 | **Difference between *simplified_script* and *all_functions* modules?** 12 | 13 | The *simplified_script* module provides all necessary components to display the output below, which is really what this app is about. 14 | 15 | The *all_functions* module contains a variety of functions, allowing the user to explore relationships between letters at a more granular level. This script is an extension of the *simplified_script*, and allows the user to see where some of the structures in *simplified_script* came from. 16 | 17 | **An example** 18 | 19 | As a demonstration, here's the output from the first few letters of "orange." At each step of the process, the program calculates each letter's probability of occurring after the full string. So, a user might wonder how likely it is that an "n" follows "ora". This progression is observed below: 20 | 21 | * First, enter "o"; the full string is now "o". !["o"](http://i.imgur.com/jjQzYOK.png) 22 | 23 | * Next, enter "r"; the full string is now "or". !["or"](http://i.imgur.com/ZXxkIzN.png) 24 | 25 | * Finally - to end this demonstration - enter "a"; the full string is now "ora". !["ora"](http://i.imgur.com/NQGhvAj.png) 26 | -------------------------------------------------------------------------------- /arial.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jake-mason/probability-keyboard/297fbf8ae3c89ed73ead5f6558544009992f6f75/arial.ttf -------------------------------------------------------------------------------- /keyboard.py: -------------------------------------------------------------------------------- 1 | import os 2 | import sys 3 | from string import ascii_lowercase 4 | from collections import defaultdict 5 | import statistics 6 | 7 | from PIL import Image, ImageDraw, ImageFont 8 | 9 | def next_most_likely(segment): 10 | ''' 11 | Finds the letters most likely to follow a given string. 12 | 13 | Parameters: 14 | segment: str 15 | 16 | Returns: 17 | If no words follow a given segment, the program exits. Otherwise: 18 | 19 | percs: dict, how often (percentage-wise) each letter in ascii_lowercase 20 | occurs following `segment` 21 | ''' 22 | 23 | segment = segment.lower().strip() 24 | 25 | # if segment isn't an 'ordered subset' of *any* word in WORDS 26 | # then an exception should be raised, as that segment doesn't exist in this corpus 27 | if not any(segment in word for word in WORDS): 28 | print("'%s' is not contained within any word in this corpus" % segment) 29 | sys.exit(1) 30 | 31 | # number of characters in the segment 32 | n_chars = len(segment) 33 | 34 | # use > instead of >= to ensure that there's another character to come 35 | # or could add functionality to signal "end-of-word" "key" 36 | contained = {w for w in WORDS if segment in w[:n_chars] and len(w) > n_chars} 37 | 38 | counts = { 39 | letter: sum(1 for word in contained if word[n_chars] == letter) 40 | for letter in ascii_lowercase 41 | } 42 | 43 | # total number of words beginning with segment and longer than len(segment) 44 | count = sum(counts.values()) 45 | 46 | if not count: 47 | print( 48 | "\nNo letters come after '%s' in this corpus. Unable to" 49 | " return next-letter probabilities.\n" % segment 50 | ) 51 | sys.exit(1) 52 | else: 53 | # dict comprehension faster than defaultdict object 54 | percs = { 55 | letter: counts[letter] / count * 100 56 | for letter in ascii_lowercase 57 | } 58 | return percs 59 | 60 | def change_colors(segment): 61 | ''' 62 | Updates the colors on the on-screen keyboard for a given segment. 63 | 64 | Parameters: 65 | segment: str 66 | ''' 67 | 68 | # wipe the slate clean 69 | pic = Image.new('RGB', (800, 200), 'white') 70 | draw = ImageDraw.Draw(pic) 71 | 72 | # get font from 'http://www5.miele.nl/apps/vg/nl/miele/mielea02.nsf/0e87ea0c369c2704c12568ac005c1831/07583f73269e053ac1257274003344e0?OpenDocument' 73 | font_path = 'arial.ttf' 74 | font_let = ImageFont.truetype(font_path, 25) 75 | font_perc = ImageFont.truetype(font_path, 15) 76 | 77 | for k,v in keyboard.items(): 78 | # width bounds 79 | x_min, x_max = v[0][0], v[0][1] 80 | 81 | # height bounds 82 | y_min, y_max = v[1][0], v[1][1] 83 | 84 | # how often letter `k` appears 85 | perc = next_most_likely(segment)[k] 86 | 87 | # scale color 88 | new_color = int(perc / 255 * 2000) 89 | 90 | for i in range(x_min, x_max): 91 | for j in range(y_min, y_max): 92 | pic.putpixel((i,j), (255 - new_color, 255 - new_color, 255)) 93 | 94 | xmean = int(statistics.mean((x_min, x_max)) - 5) 95 | ymean = int(statistics.mean((y_min, y_max)) - 25) 96 | 97 | draw.text( 98 | (xmean, ymean), 99 | k, 100 | (0, 0, 0), 101 | font=font_let 102 | ) 103 | 104 | draw.text( 105 | (xmean - 10, ymean + 30), 106 | '{0:.2f}%'.format(perc), 107 | (0, 0, 0), 108 | font=font_perc 109 | ) 110 | 111 | draw = ImageDraw.Draw(pic) 112 | 113 | draw.text( 114 | (int(width * 0.75), int(height * 0.75)), 115 | "Entry: '%s'" % segment, 116 | (0, 0, 0), 117 | font=font_let 118 | ) 119 | 120 | draw = ImageDraw.Draw(pic) 121 | pic.show() 122 | 123 | # run run(); enter a letter and see the initial keyboard heatmap 124 | # close the image and enter another letter to see the next keyboard heatmap 125 | def main(): 126 | run = 0 127 | while True: 128 | entry = input('Enter a letter, or press the ' 129 | 'Enter key to exit: \n').lower().strip() 130 | if not entry: 131 | break 132 | else: 133 | if run == 0: 134 | word = '' + entry 135 | run = 1 136 | else: 137 | word += entry 138 | change_colors(word) # show keyboard heatmap 139 | 140 | if __name__ == '__main__': 141 | 142 | # read-in Norvig Word Library. Obtained from 'http://norvig.com/ngrams/count_1w.txt' 143 | WORDS = { 144 | line.split('\t')[0].strip().lower() 145 | for line in open('Norvig Word Library.txt', 'r') 146 | } 147 | 148 | # create a new image to get dimensions for keyboard dictionary creation 149 | pic = Image.new('RGB', (800, 200), 'white') 150 | width, height = pic.size[0], pic.size[1] 151 | x_incr, y_incr = int(width / 10), int(height / 3) 152 | 153 | # keyboard rows 154 | rows = ['qwertyuiop', 'asdfghjkl', 'zxcvbnm'] 155 | 156 | # coordinates of each letter on a grid 157 | # {`letter`: [(x_min, x_max), (y_min, y_max)]} 158 | keyboard = { 159 | letter: [ 160 | (j * x_incr, (j + 1) * x_incr), 161 | (i * y_incr, (i + 1) * y_incr)] 162 | for i, row in enumerate(rows) 163 | for j, letter in enumerate(row) 164 | } 165 | 166 | main() -------------------------------------------------------------------------------- /runner.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | if ! [[ -d setup/venv ]]; then 4 | cd setup && sh create_venv.sh && cd .. 5 | fi 6 | 7 | source setup/venv/bin/activate 8 | 9 | python3 keyboard.py -------------------------------------------------------------------------------- /setup/create_venv.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | virtualenv venv 4 | source venv/bin/activate 5 | 6 | pip3 install --upgrade pip --no-cache-dir 7 | pip3 install -r requirements.txt --no-cache-dir -------------------------------------------------------------------------------- /setup/requirements.txt: -------------------------------------------------------------------------------- 1 | Pillow --------------------------------------------------------------------------------