Witter - generate random text in the style of the document you provide.
Project description
Witter
What's Witter?
Witter accepts text input, splits it into sections, or "chains", and then works out which character is most likely to follow that "chain" whenever it appears in the source text.
Once it has analyzed the source text, it generates a number of random sample pieces of text based on it.
Because of the way it uses the source text, the text that it produces will be "in the style" of the original text. It may, or may not, make sense.
It's worth noting that this isn't Machine Learning (ML), or any kind of Artificial Intelligence (AI). It's statistics, with some Monte Carlo methods thrown in.
How Do I Use Witter?
Run witter
from within a virtual environment using the syntax:
witter --help
or from the command line using:
python -m witter --help
Both of these examples will display the command line options.
A simple example to get you started is:
- download a large text file - perhaps The Complete Works of Shakespeare from Project Gutenberg
- pass the contents of the file to
witter
In Windows or Linux, in a Python virtual environment, the following command will produce samples:
witter filepath.txt
or, if you want to use piping in Linux:
cat filepath.txt | witter
So, if you want to generate text from The Complete Works of William Shakespeare, and why wouldn't you?
wget https://www.gutenberg.org/cache/epub/100/pg100.txt
cat pg100.txt | witter
or if A Christmas Carol by Charles Dickens is more your thing:
wget https://www.gutenberg.org/ebooks/24022.txt.utf-8
cat 24022.txt.utf-8 | witter
You've probably noticed the utf-8
extension on one of the text files. This is a way that Project Gutenberg uses to denote UTF-8-encoded text files. witter
can handle UTF-8 with no problems.
If you'd like a list of the available options, you can type:
witter --help
from within your virtual environment. The output will be something like:
usage: witter [-h] [-c CHAIN_LENGTH] [-t TEXT_LENGTH] [-s SAMPLE_COUNT] [-e {ascii,utf-8}] [-f {text,json}] [-v] [FILE]
Generate texts based on an input text.
positional arguments:
FILE The file to use as a source of text for for witter, or - for stdin. (default: -)
options:
-h, --help show this help message and exit
-c CHAIN_LENGTH, --chain-length CHAIN_LENGTH
The number of characters used to chain together and forecast the next character. (default: 10)
-t TEXT_LENGTH, --text-length TEXT_LENGTH
The length of text sample to generate, in characters. Note: may be approximate. (default: 200)
-s SAMPLE_COUNT, --sample-count SAMPLE_COUNT
The number of samples to generate (default: 1)
-e {ascii,utf-8}, --encoding {ascii,utf-8}
The text encoding to use when reading the input. (default: utf-8)
-f {text,json}, --format {text,json}
The format for the output. (default: text)
-v, --verbosity Increase the verbosity of the output (default: 0)
For more details, refer to https://www.softwarepragmatism.com/
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