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Keeping your prompts clean since 2023

Project description

Pretty Prompt

Simple tools for better prompts.

Installation

pip install prettyprompt

Usage

Sniffing bad intentions

from prettyprompt import sniffers

# will this SQL statement write to my database?
sniffers.is_sql_write_statement(user_supplied_sql)

# is this a prompt injection attempt? ask ChatGPT
# (needs an OpenAI API key)
sniffers.is_prompt_injection(prompt, strategy="LLM")

# uses spaCy to indicate the imperative-ness of a string
# needs a trained pipeline e.g. `python -m spacy download en_core_web_sm`
sniffers.is_imperative(prompt)

Converting input

from prettyprompt import converters

# convert scraped HTML into plain text, maintaining some structure
converters.html_to_text(scraped_html)

# splits text into meaningful chunks, using GPT-3.5
converters.chunker(long_text, max_words_per_chunk, min_words_per_chunk)

Cleaning input

from prettyprompt import cleaners

# remove tags from HTML
cleaners.remove_tags(html)

# normalise spaces
cleaners.normalise_spaces(text)

# swap common 'smart' characters with ASCII equivalents
cleaners.simplify_text(text)

Tests

  • pip install pytest pytest-mock
  • pytest

TODO

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