diff --git a/custom_recognizers/__init__.py b/custom_recognizers/__init__.py
deleted file mode 100644
index 9d2ae86..0000000
--- a/custom_recognizers/__init__.py
+++ /dev/null
@@ -1,79 +0,0 @@
-from presidio_analyzer import PatternRecognizer, AnalyzerEngine
-
-class MyCustomRecognizerClass:
-    """
-    A class to hold and register custom Presidio recognizers.
-    This class is referenced in the default.yaml.
-    """
-    
-    # Recognizer pour les numéros de registre national belges (BE_NATIONAL_REGISTER_NUMBER)
-    belgian_nrn_recognizer = PatternRecognizer(
-        entity_name="BE_NATIONAL_REGISTER_NUMBER",
-        supported_language="fr",
-        patterns=[
-            {"name": "NRN_Pattern", "regex": "\\b(?:[0-9]{2}(?:0[1-9]|1[0-2])(?:0[1-9]|[12][0-9]|3[01]))-?\\d{3}\\.?\\d{2}\\b", "score": 1.0}
-        ],
-        context=["registre national", "nrn", "niss", "numéro national"]
-    )
-
-    # Recognizer pour les numéros d'entreprise belges (BE_ENTERPRISE_NUMBER)
-    belgian_enterprise_recognizer = PatternRecognizer(
-        entity_name="BE_ENTERPRISE_NUMBER",
-        supported_language="fr",
-        patterns=[
-            {"name": "BTW_Pattern", "regex": "\\bBE\\s?0\\d{3}[\\.\\s]?\\d{3}[\\.\\s]?\\d{3}\\b", "score": 0.95}
-        ],
-        context=["entreprise", "btw", "tva", "numéro d'entreprise", "rcs", "kbo"]
-    )
-
-    # Recognizer pour les IBAN (qui inclura les IBAN belges)
-    iban_recognizer = PatternRecognizer(
-        entity_name="IBAN",
-        supported_language="fr",
-        patterns=[
-            {"name": "IBAN_Pattern", "regex": "\\b[A-Z]{2}\\d{2}\\s?(?:[A-Z0-9]{4}\\s?){2,7}[A-Z0-9]{1,4}\\b", "score": 0.95}
-        ],
-        context=["iban", "compte", "bancaire", "bancaires", "bic", "swift"]
-    )
-
-    # Recognizer pour les numéros de téléphone
-    phone_recognizer = PatternRecognizer(
-        entity_name="PHONE_NUMBER",
-        supported_language="fr",
-        patterns=[
-            {"name": "Phone_Pattern", "regex": "\\b(?:(?:\\+|00)?(?:32|33|352)|0)\\s?[1-9](?:[\\s.-]?\\d{2}){3,4}\\b", "score": 0.8}
-        ],
-        context=["téléphone", "tel", "mobile", "gsm", "contact"]
-    )
-
-    # Recognizer pour les adresses email
-    email_recognizer = PatternRecognizer(
-        entity_name="EMAIL_ADDRESS",
-        supported_language="fr",
-        patterns=[
-            {"name": "Email_Pattern", "regex": "\\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Z|a-z]{2,}\\b", "score": 1.0}
-        ],
-        context=["email", "courriel", "adresse électronique"]
-    )
-
-    # Recognizer pour les montants monétaires
-    money_recognizer = PatternRecognizer(
-        entity_name="MONEY",
-        supported_language="fr",
-        patterns=[
-            {"name": "Money_Pattern", "regex": "(?:EUR|€)\\s*\\d{1,3}(?:[.,\\s]\\d{3})*(?:[.,]\\d{2})?|\\d{1,3}(?:[.,\\s]\\d{3})*(?:[.,]\\d{2})?\\s*(?:EUR|€)", "score": 0.85}
-        ]
-    )
-
-    # La liste des recognizers qui seront exposés par ce module
-    # Presidio va les trouver automatiquement s'ils sont des instances de Recognizer
-    # et accessibles dans le module spécifié.
-    # On met directement les instances de PatternRecognizer ici
-    __all__ = [
-        "belgian_nrn_recognizer",
-        "belgian_enterprise_recognizer",
-        "iban_recognizer",
-        "phone_recognizer",
-        "email_recognizer",
-        "money_recognizer"
-    ]