from pydantic import BaseModel, create_model
from typing import Literal, List


def generate_classification_model(labels: List[str]) -> BaseModel:
    """
    Dynamically generates a Pydantic model for classification based on user-provided labels.

    Args:
        labels (List[str]): List of valid label strings.

    Returns:
        BaseModel: A dynamically generated Pydantic model.
    """
    return create_model(
        "DynamicClassificationOutput",
        label=(Literal[tuple(labels)], ...),  # Enforce that 'label' matches one of the valid labels
    )