import spacy

# Load the English language model
nlp = spacy.load("en_core_web_sm")

# Define a list of obligation words
obligation_words = ["must", "will", "use", "may", "provides", 'is obliged to', 
                    'has to', 'needs to', 'is required to',
                    "shall", "should", "ought to", "required", "obligated", "duty"]

def extract_keyphrase(text):
    # Parse the input text with SpaCy
    doc = nlp(text)
    
    # Initialize a list to store sentences with obligation words
    obligation_sentences = []
    
    # Iterate through the sentences in the document
    for sentence in doc.sents:
        # Check if any of the obligation words appear in the sentence
        if any(word.text.lower() in obligation_words for word in sentence):
            obligation_sentences.append(sentence.text)
    
    return obligation_sentences