Using deep complicated NLP to turn your text into my text by arbitrarily swapping words for their synonyms. /s
usage: main.py [-h] [--text TEXT] [--chance CHANCE] [--file FILE]
optional arguments:
-h, --help show this help message and exit
--text TEXT your original text
--chance CHANCE one in N swap chance
--file FILE path to text file containing text
$ python3 main.py --chance 1 --text "Hello world, it's siraj!"
howdy world, it's siraj!
$ echo -en "hello world it's siraj and this week i'm\ngoing to show you how Gaussian gates and complex Hilbert\nspaces work. stay cool wizards" > file.txt
$ python3 main.py --chance 1 --file file.txt
how-do-you-do world it's siraj and this week Im
go to show you how Gaussian doors and hard David Hilbert
gaps work. check chill wizards
- TextBlob (
pip install textblob) - PhD in neural quantum blockchain
- 5 minutes
- extensive knowledge of residual capsule reservoir networks
- stargazing this repository
To allow the Gaussian doors to shine through, you may need to download the wordnet corpus that is part of NLTK
which is a dependency of TextBlob. If not, it will generate many complicated Hilbert space errors that
which mention that Resource wordnet not found. To resolve this, please do the following in your Python
REPL before running:
>>> import nltk
>>> nltk.download('wordnet')
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