Merge pull request #4 from eginhard/fix-is-multilingual

fix(api): handle missing attribute in is_multi_lingual

TTS/api.py

@@ -97,7 +97,7 @@ def is_multi_lingual(self):
             isinstance(self.model_name, str)
             and "xtts" in self.model_name
             or self.config
-            and ("xtts" in self.config.model or len(self.config.languages) > 1)
+            and ("xtts" in self.config.model or "languages" in self.config and len(self.config.languages) > 1)
         ):
             return True
         if hasattr(self.synthesizer.tts_model, "language_manager") and self.synthesizer.tts_model.language_manager:

TTS/tts/datasets/dataset.py

@@ -4,6 +4,7 @@
 import random
 from typing import Dict, List, Union
 
+import mutagen
 import numpy as np
 import torch
 import tqdm
@@ -13,8 +14,6 @@
 from TTS.utils.audio import AudioProcessor
 from TTS.utils.audio.numpy_transforms import compute_energy as calculate_energy
 
-import mutagen
-
 # to prevent too many open files error as suggested here
 # https://github.com/pytorch/pytorch/issues/11201#issuecomment-421146936
 torch.multiprocessing.set_sharing_strategy("file_system")
@@ -47,7 +46,9 @@ def string2filename(string):
 def get_audio_size(audiopath):
     extension = audiopath.rpartition(".")[-1].lower()
     if extension not in {"mp3", "wav", "flac"}:
-        raise RuntimeError(f"The audio format {extension} is not supported, please convert the audio files to mp3, flac, or wav format!")
+        raise RuntimeError(
+            f"The audio format {extension} is not supported, please convert the audio files to mp3, flac, or wav format!"
+        )
 
     audio_info = mutagen.File(audiopath).info
     return int(audio_info.length * audio_info.sample_rate)