code: def clean_text(text: str) -> str:
      """
      Removes all special tokens from an incoming text.
      """
      for token in CONST.ALL_SPECIAL_TOKENS:
          text = text.replace(f" {token}", "")
          text = text.replace(f"{token} ", "")
          text = text.replace(token, "")
  
      return text
  
imports: import aiohttp
  import asyncio
  from enum import Enum
  import json
  import math
  from nltk.corpus import stopwords
  from nltk.tokenize import word_tokenize
  from nltk.stem import PorterStemmer
  import os
  import random
  import string
  import time
  from typing import List, Tuple, Optional, Dict, Any, Set, Union
  from parlai.agents.ir_baseline.ir_baseline import score_match, MaxPriorityQueue
  from parlai.core.dict import DictionaryAgent
  from parlai.core.message import Message
  from parlai.core.metrics import F1Metric
  from parlai.core.torch_generator_agent import PPLMetric
  import parlai.utils.logging
  import projects.bb3.constants
  import projects.bb3.prompts
  from projects.bb3.agents.module import Module
label_desc: Use image node_id 3 for calling a global function with example usage: clean_text(text) and returns: text