I ❥ Spacy!

generate_prompts.py

import spacy
#Load the (small) model
_nlp = spacy.load('en_core_web_sm')

#Adjust the max length of the document
#_nlp.max_length = 1000000

#text contains the data that we want to extract phrases from, in string/buffer format

all_prompts = []

doc = _nlp(text.decode('utf-8'))

def certain_conditions(prompt):
	#Insert your checks here
	return True

for token in doc.noun_chunks:
    prompt = token.text
    #prompt now contains the necessary phrase
    if certain_conditions(prompt = prompt):
        all_prompts.append(prompt)