Module: train_and_evaluate.py

def train_and_evaluate_keras_model(model, X_train, X_test, y_train, y_test, epochs: int, batch_size: int):
    """
    Train and evaluate a Keras NLP model.
 
    Parameters:
        model (tf.keras.Model): The compiled Keras model instance.
        X_train (np.array): Training features.
        X_test (np.array): Testing features.
        y_train (np.array): Training labels.
        y_test (np.array): Testing labels.
        epochs (int): Number of training epochs.
        batch_size (int): Size of training batches.
 
    Returns:
        tf.keras.callbacks.History: Training history for further analysis.
    """
 
 
def train_and_evaluate_huggingface_model(model, tokenizer, texts, labels, epochs: int, batch_size: int):
    """
    Train and evaluate a Hugging Face NLP model.
 
    Parameters:
        model (transformers.TFAutoModelForSequenceClassification): The Hugging Face model instance.
        tokenizer (transformers.AutoTokenizer): Tokenizer instance for the specific model.
        texts (list): Input text samples.
        labels (list): Corresponding labels for text samples.
        epochs (int): Number of training epochs.
        batch_size (int): Size of training batches.
 
    Returns:
        tf.keras.callbacks.History: Training history for further analysis.
    """