Fix synthesizer reading `use_language_embedding`

TTS/utils/synthesizer.py

@@ -151,7 +151,10 @@ class Synthesizer(object):
         """Initialize the LanguageManager"""
         # setup if multi-lingual settings are in the global model config
         language_manager = None
-        if hasattr(self.tts_config, "use_language_embedding") and self.tts_config.use_language_embedding is True:
+        if (
+            hasattr(self.tts_config.model_args, "use_language_embedding")
+            and self.tts_config.model_args.use_language_embedding is True
+        ):
             if self.tts_languages_file:
                 language_manager = LanguageManager(language_ids_file_path=self.tts_languages_file)
             elif self.tts_config.get("language_ids_file", None):
@@ -200,14 +203,14 @@ class Synthesizer(object):
         self.ap.save_wav(wav, path, self.output_sample_rate)
 
     def tts(
-        self, text: str, speaker_idx: str = "", language_idx: str = "", speaker_wav=None, style_wav=None
+        self, text: str, speaker_name: str = "", language_name: str = "", speaker_wav=None, style_wav=None
     ) -> List[int]:
         """🐸 TTS magic. Run all the models and generate speech.
 
         Args:
             text (str): input text.
-            speaker_idx (str, optional): spekaer id for multi-speaker models. Defaults to "".
-            language_idx (str, optional): language id for multi-language models. Defaults to "".
+            speaker_name (str, optional): spekaer id for multi-speaker models. Defaults to "".
+            language_name (str, optional): language id for multi-language models. Defaults to "".
             speaker_wav ():
             style_wav ([type], optional): style waveform for GST. Defaults to None.
 
@@ -224,26 +227,26 @@ class Synthesizer(object):
         speaker_embedding = None
         speaker_id = None
         if self.tts_speakers_file or hasattr(self.tts_model.speaker_manager, "speaker_ids"):
-            if speaker_idx and isinstance(speaker_idx, str):
+            if speaker_name and isinstance(speaker_name, str):
                 if self.tts_config.use_d_vector_file:
                     # get the speaker embedding from the saved d_vectors.
-                    speaker_embedding = self.tts_model.speaker_manager.get_d_vectors_by_speaker(speaker_idx)[0]
+                    speaker_embedding = self.tts_model.speaker_manager.get_d_vectors_by_speaker(speaker_name)[0]
                     speaker_embedding = np.array(speaker_embedding)[None, :]  # [1 x embedding_dim]
                 else:
                     # get speaker idx from the speaker name
-                    speaker_id = self.tts_model.speaker_manager.speaker_ids[speaker_idx]
+                    speaker_id = self.tts_model.speaker_manager.speaker_ids[speaker_name]
 
-            elif not speaker_idx and not speaker_wav:
+            elif not speaker_name and not speaker_wav:
                 raise ValueError(
                     " [!] Look like you use a multi-speaker model. "
-                    "You need to define either a `speaker_idx` or a `style_wav` to use a multi-speaker model."
+                    "You need to define either a `speaker_name` or a `style_wav` to use a multi-speaker model."
                 )
             else:
                 speaker_embedding = None
         else:
-            if speaker_idx:
+            if speaker_name:
                 raise ValueError(
-                    f" [!] Missing speakers.json file path for selecting speaker {speaker_idx}."
+                    f" [!] Missing speakers.json file path for selecting speaker {speaker_name}."
                     "Define path for speaker.json if it is a multi-speaker model or remove defined speaker idx. "
                 )
 
@@ -252,18 +255,18 @@ class Synthesizer(object):
         if self.tts_languages_file or (
             hasattr(self.tts_model, "language_manager") and self.tts_model.language_manager is not None
         ):
-            if language_idx and isinstance(language_idx, str):
-                language_id = self.tts_model.language_manager.language_id_mapping[language_idx]
+            if language_name and isinstance(language_name, str):
+                language_id = self.tts_model.language_manager.language_id_mapping[language_name]
 
-            elif not language_idx:
+            elif not language_name:
                 raise ValueError(
                     " [!] Look like you use a multi-lingual model. "
-                    "You need to define either a `language_idx` or a `style_wav` to use a multi-lingual model."
+                    "You need to define either a `language_name` or a `style_wav` to use a multi-lingual model."
                 )
 
             else:
                 raise ValueError(
-                    f" [!] Missing language_ids.json file path for selecting language {language_idx}."
+                    f" [!] Missing language_ids.json file path for selecting language {language_name}."
                     "Define path for language_ids.json if it is a multi-lingual model or remove defined language idx. "
                 )
 
@@ -283,7 +286,7 @@ class Synthesizer(object):
                 ap=self.ap,
                 speaker_id=speaker_id,
                 language_id=language_id,
-                language_name=language_idx,
+                language_name=language_name,
                 style_wav=style_wav,
                 enable_eos_bos_chars=self.tts_config.enable_eos_bos_chars,
                 use_griffin_lim=use_gl,