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SLOP Detector and analyzer based on dictionary for shareGPT JSON and text

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SLOP_Detector

SLOP Detector is an analyzer based on dictionary for any JSON or text

(SLOP is now the acronym for Superfluous Language Overuse Pattern)

Installation (assuming you use linux):

git clone https://github.com/SicariusSicariiStuff/SLOP_Detector.git
cd SLOP_Detector
python -m venv env
source env/bin/activate
pip install -r requirements.txt 

Usage: (any file - json, txt etc...)

python SLOP_Detector.py somefile.json

The result will be exported into a text file with the GPTisms found, and a slop score.

The way the voodoo is being calculated can be adjusted using the YAML files.

Annoying phrases get penalties because they are annoying.

Let's nuke GPTisms together.

Contributions and forks are welcomed.

2 Example files included, a Claude creative writing dataset and a text file story made with Dusk_Rainbow.

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