import torch
from torch.utils.data import Dataset, DataLoader

class TTSDataset(Dataset):
    def __init__(self, texts, targets):
        self.texts = texts
        self.targets = targets

    def __len__(self):
        return len(self.texts)

    def __getitem__(self, idx):
        return self.texts[idx], self.targets[idx]

def collate_fn(batch):
    texts, targets = zip(*batch)
    return torch.tensor(texts), torch.tensor(targets)

def get_dataloader(texts, targets, batch_size=32, shuffle=True):
    dataset = TTSDataset(texts, targets)
    return DataLoader(dataset, batch_size=batch_size, shuffle=shuffle, collate_fn=collate_fn)

def load_data(file_path):
    # Implement data loading from file
    pass

def preprocess_text(text):
    # Implement text preprocessing
    pass

def preprocess_target(target):
    # Implement target preprocessing
    pass