from sentence_transformers import SentenceTransformer
import numpy as np

def get_sentence_embeddings(positive_text, unlabelled_text):
    # Initialize SentenceTransformer model
    model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')

    # Generate embeddings for positive text
    positive_embeddings = model.encode(positive_text)

    # Generate embeddings for unlabelled text
    unlabelled_embeddings = model.encode(unlabelled_text)

    return positive_embeddings, unlabelled_embeddings