chore(api): add type hints

TTS/api.py

@@ -1,3 +1,5 @@
+"""Coqui TTS Python API."""
+
 import logging
 import tempfile
 import warnings
@@ -30,7 +32,7 @@ class TTS(nn.Module):
         encoder_config_path: Optional[str] = None,
         progress_bar: bool = True,
         gpu: bool = False,
-    ):
+    ) -> None:
         """🐸TTS python interface that allows to load and use the released models.
 
         Example with a multi-speaker model:
@@ -97,17 +99,17 @@ class TTS(nn.Module):
             self.load_tts_model_by_path(model_path, config_path, gpu=gpu)
 
     @property
-    def models(self):
+    def models(self) -> list[str]:
         return self.manager.list_tts_models()
 
     @property
-    def is_multi_speaker(self):
+    def is_multi_speaker(self) -> bool:
         if hasattr(self.synthesizer.tts_model, "speaker_manager") and self.synthesizer.tts_model.speaker_manager:
             return self.synthesizer.tts_model.speaker_manager.num_speakers > 1
         return False
 
     @property
-    def is_multi_lingual(self):
+    def is_multi_lingual(self) -> bool:
         # Not sure what sets this to None, but applied a fix to prevent crashing.
         if (
             isinstance(self.model_name, str)
@@ -121,23 +123,23 @@ class TTS(nn.Module):
         return False
 
     @property
-    def speakers(self):
+    def speakers(self) -> list[str]:
         if not self.is_multi_speaker:
             return None
         return self.synthesizer.tts_model.speaker_manager.speaker_names
 
     @property
-    def languages(self):
+    def languages(self) -> list[str]:
         if not self.is_multi_lingual:
             return None
         return self.synthesizer.tts_model.language_manager.language_names
 
     @staticmethod
-    def get_models_file_path():
+    def get_models_file_path() -> Path:
         return Path(__file__).parent / ".models.json"
 
     @staticmethod
-    def list_models():
+    def list_models() -> list[str]:
         return ModelManager(models_file=TTS.get_models_file_path(), progress_bar=False).list_models()
 
     def download_model_by_name(
@@ -159,7 +161,7 @@ class TTS(nn.Module):
             self.vocoder_config_path = vocoder_config_path
         return model_path, config_path, None
 
-    def load_model_by_name(self, model_name: str, vocoder_name: Optional[str] = None, *, gpu: bool = False):
+    def load_model_by_name(self, model_name: str, vocoder_name: Optional[str] = None, *, gpu: bool = False) -> None:
         """Load one of the 🐸TTS models by name.
 
         Args:
@@ -168,7 +170,7 @@ class TTS(nn.Module):
         """
         self.load_tts_model_by_name(model_name, vocoder_name, gpu=gpu)
 
-    def load_vc_model_by_name(self, model_name: str, *, gpu: bool = False):
+    def load_vc_model_by_name(self, model_name: str, *, gpu: bool = False) -> None:
         """Load one of the voice conversion models by name.
 
         Args:
@@ -181,7 +183,7 @@ class TTS(nn.Module):
             vc_checkpoint=model_path, vc_config=config_path, model_dir=model_dir, use_cuda=gpu
         )
 
-    def load_tts_model_by_name(self, model_name: str, vocoder_name: Optional[str] = None, *, gpu: bool = False):
+    def load_tts_model_by_name(self, model_name: str, vocoder_name: Optional[str] = None, *, gpu: bool = False) -> None:
         """Load one of 🐸TTS models by name.
 
         Args:
@@ -235,11 +237,11 @@ class TTS(nn.Module):
 
     def _check_arguments(
         self,
-        speaker: str = None,
-        language: str = None,
-        speaker_wav: str = None,
-        emotion: str = None,
-        speed: float = None,
+        speaker: Optional[str] = None,
+        language: Optional[str] = None,
+        speaker_wav: Optional[str] = None,
+        emotion: Optional[str] = None,
+        speed: Optional[float] = None,
         **kwargs,
     ) -> None:
         """Check if the arguments are valid for the model."""
@@ -320,7 +322,7 @@ class TTS(nn.Module):
         file_path: str = "output.wav",
         split_sentences: bool = True,
         **kwargs,
-    ):
+    ) -> str:
         """Convert text to speech.
 
         Args:
@@ -451,7 +453,7 @@ class TTS(nn.Module):
         file_path: str = "output.wav",
         speaker: str = None,
         split_sentences: bool = True,
-    ):
+    ) -> str:
         """Convert text to speech with voice conversion and save to file.
 
         Check `tts_with_vc` for more details.
@@ -479,3 +481,4 @@ class TTS(nn.Module):
             text=text, language=language, speaker_wav=speaker_wav, speaker=speaker, split_sentences=split_sentences
         )
         save_wav(wav=wav, path=file_path, sample_rate=self.voice_converter.vc_config.audio.output_sample_rate)
+        return file_path