Update code style in recipes

recipes/ljspeech/align_tts/train_aligntts.py

@@ -1,12 +1,12 @@
 import os
 
-from TTS.tts.configs import AlignTTSConfig
-from TTS.tts.configs import BaseDatasetConfig
-from TTS.trainer import init_training, Trainer, TrainingArgs
-
+from TTS.trainer import Trainer, TrainingArgs, init_training
+from TTS.tts.configs import AlignTTSConfig, BaseDatasetConfig
 
 output_path = os.path.dirname(os.path.abspath(__file__))
-dataset_config = BaseDatasetConfig(name="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/"))
+dataset_config = BaseDatasetConfig(
+    name="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/")
+)
 config = AlignTTSConfig(
     batch_size=32,
     eval_batch_size=16,
@@ -23,7 +23,7 @@ config = AlignTTSConfig(
     print_eval=True,
     mixed_precision=False,
     output_path=output_path,
-    datasets=[dataset_config]
+    datasets=[dataset_config],
 )
 args, config, output_path, _, c_logger, tb_logger = init_training(TrainingArgs(), config)
 trainer = Trainer(args, config, output_path, c_logger, tb_logger)

recipes/ljspeech/glow_tts/train_glowtts.py

@@ -1,12 +1,12 @@
 import os
 
-from TTS.tts.configs import GlowTTSConfig
-from TTS.tts.configs import BaseDatasetConfig
-from TTS.trainer import init_training, Trainer, TrainingArgs
-
+from TTS.trainer import Trainer, TrainingArgs, init_training
+from TTS.tts.configs import BaseDatasetConfig, GlowTTSConfig
 
 output_path = os.path.dirname(os.path.abspath(__file__))
-dataset_config = BaseDatasetConfig(name="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/"))
+dataset_config = BaseDatasetConfig(
+    name="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/")
+)
 config = GlowTTSConfig(
     batch_size=32,
     eval_batch_size=16,
@@ -23,7 +23,7 @@ config = GlowTTSConfig(
     print_eval=True,
     mixed_precision=False,
     output_path=output_path,
-    datasets=[dataset_config]
+    datasets=[dataset_config],
 )
 args, config, output_path, _, c_logger, tb_logger = init_training(TrainingArgs(), config)
 trainer = Trainer(args, config, output_path, c_logger, tb_logger)

recipes/ljspeech/multiband_melgan/train_multiband_melgan.py

@@ -1,8 +1,7 @@
 import os
 
+from TTS.trainer import Trainer, TrainingArgs, init_training
 from TTS.vocoder.configs import MultibandMelganConfig
-from TTS.trainer import init_training, Trainer, TrainingArgs
-
 
 output_path = os.path.dirname(os.path.abspath(__file__))
 config = MultibandMelganConfig(

recipes/ljspeech/univnet/train.py

@@ -1,6 +1,5 @@
 import os
 
-from TTS.config.shared_configs import BaseAudioConfig
 from TTS.trainer import Trainer, TrainingArgs, init_training
 from TTS.vocoder.configs import UnivnetConfig
 

recipes/ljspeech/wavegrad/train_wavegrad.py

@@ -1,10 +1,8 @@
 import os
 
-from TTS.trainer import Trainer, init_training
-from TTS.trainer import TrainingArgs
+from TTS.trainer import Trainer, TrainingArgs, init_training
 from TTS.vocoder.configs import WavegradConfig
 
-
 output_path = os.path.dirname(os.path.abspath(__file__))
 config = WavegradConfig(
     batch_size=32,

recipes/ljspeech/wavernn/train_wavernn.py

@@ -1,9 +1,8 @@
 import os
 
-from TTS.trainer import Trainer, init_training, TrainingArgs
+from TTS.trainer import Trainer, TrainingArgs, init_training
 from TTS.vocoder.configs import WavernnConfig
 
-
 output_path = os.path.dirname(os.path.abspath(__file__))
 config = WavernnConfig(
     batch_size=64,