text: from sentence_transformers import util
  
  
  class CosineSimilarity:
      def __init__(self):
          pass
  
      def compute_similarity(self, lang1_emb, lang2_emb):
          cos_sim = []
          print("Computing cosine similarity scores")
          for l1, l2 in zip(lang1_emb, lang2_emb):
              cos_sim.append(round(util.pytorch_cos_sim(l1, l2)[0][0].item(), 3))
          return cos_sim