code: def compute_lang_id_pred_score(text, lang_id_model):
      text = text.lower().replace("\n", " ")
      tot_pred_lang_id = lang_id_model.predict(text)
      pred_lang_id = tot_pred_lang_id[0][0].replace("__label__", "")
      score_pred_lang_id = tot_pred_lang_id[1][0]
      return pred_lang_id, score_pred_lang_id
  
imports: import json
  import re
  from collections import Counter
  import fasttext
  import kenlm
  import numpy
  import sentencepiece
  from obelics.utils import SPECIAL_CHARACTERS
label_desc: Use image node_id 25 for calling the FilteringFunctions obj's underlying member method code with example usage: obj.compute_lang_id_pred_score(text, lang_id_model) and returns: pred_lang_id,  score_pred_lang_id