Allow datasets with only 1 image in TI

            self.dataset.append(entry)

        assert len(self.dataset) > 1, "No images have been found in the dataset."

        assert len(self.dataset) > 0, "No images have been found in the dataset."

        self.length = len(self.dataset) * repeats // batch_size

        self.initial_indexes = np.arange(len(self.dataset))

        self.shuffle()

    def shuffle(self):

        self.indexes = self.initial_indexes[torch.randperm(self.initial_indexes.shape[0])]

        self.indexes = self.initial_indexes[torch.randperm(self.initial_indexes.shape[0]).numpy()]

    def create_text(self, filename_text):

        text = random.choice(self.lines)