Update hubconf.py

hubconf.py

@@ -2,29 +2,13 @@ dependencies = [
     'torch', 'gdown', 'pysbd', 'gruut', 'anyascii', 'pypinyin', 'coqpit', 'mecab-python3', 'unidic-lite'
 ]
 import torch
-
 from TTS.utils.manage import ModelManager
 from TTS.utils.synthesizer import Synthesizer
 
-
 def tts(model_name='tts_models/en/ljspeech/tacotron2-DCA',
         vocoder_name=None,
         use_cuda=False):
-    """TTS entry point for PyTorch Hub that provides a Synthesizer object to synthesize speech from a give text.
-
-    Example:
-        >>> synthesizer = torch.hub.load('coqui-ai/TTS', 'tts', source='github')
-        >>> wavs = synthesizer.tts("This is a test! This is also a test!!")
-            wavs - is a list of values of the synthesized speech.
 
-    Args:
-        model_name (str, optional): One of the model names from .model.json. Defaults to 'tts_models/en/ljspeech/tacotron2-DCA'.
-        vocoder_name (str, optional): One of the model names from .model.json. Defaults to 'vocoder_models/en/ljspeech/multiband-melgan'.
-        pretrained (bool, optional): [description]. Defaults to True.
-
-    Returns:
-        TTS.utils.synthesizer.Synthesizer: Synthesizer object wrapping both vocoder and tts models.
-    """
     manager = ModelManager()
 
     model_path, config_path, model_item = manager.download_model(model_name)
@@ -32,7 +16,6 @@ def tts(model_name='tts_models/en/ljspeech/tacotron2-DCA',
         'default_vocoder'] if vocoder_name is None else vocoder_name
     vocoder_path, vocoder_config_path, _ = manager.download_model(vocoder_name)
 
-    # create synthesizer
     synt = Synthesizer(tts_checkpoint=model_path,
                        tts_config_path=config_path,
                        vocoder_checkpoint=vocoder_path,
@@ -40,7 +23,6 @@ def tts(model_name='tts_models/en/ljspeech/tacotron2-DCA',
                        use_cuda=use_cuda)
     return synt
 
-
 if __name__ == '__main__':
     synthesizer = torch.hub.load('coqui-ai/TTS:dev', 'tts', source='github')
-    synthesizer.tts("This is a test!")
+    synthesizer.tts("Saludos!")