Extracting Facts from a datasets of information

getFacts.py

import wikipedia
import spacy
import textacy.extract

# f= open("facts.txt","a+")
# Load the large English NLP model
nlp = spacy.load('en_core_web_sm')

# Detail of the searched word
content =wikipedia.page("Apple Inc").content

doc = nlp(content)

# Extract semi-structured statements with "Apple" as the Head-Word
statements = textacy.extract.semistructured_statements(doc, "Apple")

# Print the results
print("Here are the things I know about Apple:")
for statement in statements:
    subject, verb, fact = statement
    print(f"-{fact}")
    # facts = f" - {fact}"
    # print(facts)
#     f.write(facts)
# f.close()