Fix imports

recipes/ljspeech/univnet/train.py

@@ -32,7 +32,7 @@ config = UnivnetConfig(
 ap = AudioProcessor(**config.audio.to_dict())
 
 # load training samples
-eval_samples, train_samples  = load_wav_data(config.data_path, config.eval_split_size)
+eval_samples, train_samples = load_wav_data(config.data_path, config.eval_split_size)
 
 # init model
 model = GAN(config)

recipes/ljspeech/vits_tts/train_vits.py

@@ -3,10 +3,9 @@ import os
 from TTS.config.shared_configs import BaseAudioConfig
 from TTS.trainer import Trainer, TrainingArgs
 from TTS.tts.configs import BaseDatasetConfig, VitsConfig
+from TTS.tts.datasets import load_tts_samples
 from TTS.tts.models.vits import Vits
 from TTS.utils.audio import AudioProcessor
-from TTS.tts.datasets import load_tts_samples
-
 
 output_path = os.path.dirname(os.path.abspath(__file__))
 dataset_config = BaseDatasetConfig(

recipes/ljspeech/wavegrad/train_wavegrad.py

@@ -3,9 +3,8 @@ import os
 from TTS.trainer import Trainer, TrainingArgs
 from TTS.utils.audio import AudioProcessor
 from TTS.vocoder.configs import WavegradConfig
-from TTS.vocoder.models.wavegrad import Wavegrad
 from TTS.vocoder.datasets.preprocess import load_wav_data
-
+from TTS.vocoder.models.wavegrad import Wavegrad
 
 output_path = os.path.dirname(os.path.abspath(__file__))
 config = WavegradConfig(

recipes/ljspeech/wavernn/train_wavernn.py

@@ -1,6 +1,5 @@
 import os
 
-
 from TTS.trainer import Trainer, TrainingArgs
 from TTS.utils.audio import AudioProcessor
 from TTS.vocoder.configs import WavernnConfig