from typing import Dict, Any, Optional, List


def crisis_event_text_classification(
    label_set: List[str],
    language: str = "en",
    model_type: str = "transformer",
    max_seq_length: int = 256
) -> Dict[str, Any]:
    """
    Crisis Event Classification from Text (placeholder intent)

    Parameters
    ----------
    label_set : list[str]
        Labels such as ["displacement","access","protection","wash", ...].
    language : str
        Language code (e.g., 'en','fa','ps','ar','fr').
    model_type : str
        e.g., 'transformer', 'logreg'.
    max_seq_length : int
        Tokenization maximum sequence length.
    """
    return {
        "type": "ml_crisis_text_classification",
        "model_type": model_type,
        "labels": label_set,
        "language": language,
        "max_seq_length": max_seq_length,
        "preview": {"will_train": True, "expected_outputs": ["labels", "probabilities", "examples"]},
    }
