Attribute Error: " 'Custom_Component_name' has no attribute 'required_packages' "

while trying to train nlu, I keep having this error: '

“AttributeError: type object ‘SpellChecker’ has no attribute ‘required_packages’ Makefile:28: recipe for target ‘train-nlu’ failed make: *** [train-nlu] Error 1”

I’m trying to add my pre-trained spell checker as a custom component to rasa pipeline, my pre-trained checker class named as “SpellChecker” in file , after importing it in the file that contains my custom component,

I then built my custom component class:

from complete_spell_checker.spell_checker import SpellChecker

class spell_checker_component(Component):
    """A new component"""
    name = "complete_spell_checker.spell_checker.SpellChecker"
    #name = "custom_component.spell_checker_component"
    provides = ["spell_checking"]
    requires = ["text"]
    defaults = {}
    language_list = "en"

def __init__(self, component_config=None):
    super(spell_checker_component, self).__init__(component_config)

def train(self, training_data, cfg, **kwargs):

def process(self, message, **kwargs):
    m = message.text
    new_m = SpellChecker.corrector(m)
    message.set("text", new_m, add_to_output=True)
    print("new meassage becomes--> ",message.text)

def required_packages(self):
    return ["jamspell"]

def persist(self, model_dir):
    """Persist this component to disk for future loading."""


and my nlu_config.yml file:

language: "en"


  - name: "complete_spell_checker.spell_checker.SpellChecker"
  - name: "spacy_sklearn"

my SpellChecker class:

import jamspell

class SpellChecker(object):

#required_packages = []

def __init__(self, sentence = ''):
    self.modified_sentence = sentence
    #self.modified_sentence = self.corrector(sentence) 
    self.required_packages = []

def corrector (self,sentence: str) ->str:
        A function that is used to check a sentence for any spell-mistakes and try to modify it.
            sentence(string): The input sentence that want to be spell-checked
            modified_sentence(string): The input sentence after modifying it 
    corrector = jamspell.TSpellCorrector()
    modified_sentence = corrector.FixFragment(sentence)
    return modified_sentence

def required_packages(self):
    return ["jamspell"]

@A7medBahgat Did you solve it? as i m facing the same problem