# ai_act_compliance.py
class ComplianceChecker:
    def __init__(self, model_config):
        self.model_config = model_config

    def classify_risk_level(self):
        # Implement logic to classify model risk level (high-risk vs. general-purpose)
        pass

    def document_data_handling(self):
        # Implement logic to document data handling for EU users (GDPR + AI Act alignment)
        pass

    def provide_transparency_statements(self):
        # Implement logic to provide transparency statements per model type
        pass

# ai_act_compliance.py
class ComplianceChecker:
    def __init__(self, model_config):
        self.model_config = model_config

    def classify_risk_level(self):
        if self.model_config['risk_level'] == 'high-risk':
            return 'high-risk'
        else:
            return 'general-purpose'

    def document_data_handling(self):
        # Assume we have a function to classify data for EU jurisdictions
        def classify_data(data):
            # Implement logic to classify data for EU jurisdictions
            pass

        eu_data = classify_data(self.model_config['data'])
        return f'Data handling for EU users: {eu_data}'

    def provide_transparency_statements(self):
        # Assume we have a function to generate transparency statements
        def generate_transparency_statement(model_type):
            # Implement logic to generate transparency statements
            pass

        transparency_statements = []
        for model_type in self.model_config['model_types']:
            transparency_statements.append(generate_transparency_statement(model