from fastapi import APIRouter

router = APIRouter()


@router.post("/train-model")
async def train_model() -> dict:
    """
    Endpoint to train the model. This function encapsulates
    the logic to initiate model training and returns a success
    message upon completion.

    Returns:
        dict: A dictionary containing a success message.
    """
    return {"message": "Training Model Successful"}


@router.post("/predict")
async def predict() -> dict:
    """
    Endpoint to make predictions. This function encapsulates
    the logic to make predictions with the trained model and
    returns a success message upon completion.

    Returns:
        dict: A dictionary containing a success message.
    """

    return {"message": "Prediction Successful"}
