sentence_pairs = [
    ("The cat is sitting on the mat.", "The feline rests on the rug."),
    ("The store closes at 8 PM today.", "The shop shuts its doors at 20:00 today."),
    ("The weather is sunny today.", "It is bright and sunny outside."),
    ("He drove his car to work.", "He took the bus to the office."),
]

for sent1, sent2 in sentence_pairs:
    emb1 = model.encode(sent1, convert_to_tensor=True)
    emb2 = model.encode(sent2, convert_to_tensor=True)
    sim = util.cos_sim(emb1, emb2).item()
    is_paraphrase = sim > 0.65
    print(f"Similarity: {sim:.3f} | Paraphrase: {is_paraphrase}")
    print(f"  1: {sent1}\n  2: {sent2}\n")