Run make style & re-enable it in CI

.github/workflows/style_check.yml

@@ -42,6 +42,5 @@ jobs:
         run: |
           python3 -m pip install .[all]
           python3 setup.py egg_info
-      # - name: Lint check
-      #   run: |
-      #     make lint
+      - name: Style check
+        run: make style

TTS/api.py

@@ -264,7 +264,7 @@ def tts_coqui_studio(
         language: str = None,
         emotion: str = None,
         speed: float = 1.0,
-        pipe_out = None,
+        pipe_out=None,
         file_path: str = None,
     ) -> Union[np.ndarray, str]:
         """Convert text to speech using Coqui Studio models. Use `CS_API` class if you are only interested in the API.
@@ -359,7 +359,7 @@ def tts_to_file(
         speaker_wav: str = None,
         emotion: str = None,
         speed: float = 1.0,
-        pipe_out = None,
+        pipe_out=None,
         file_path: str = "output.wav",
         **kwargs,
     ):
@@ -460,7 +460,7 @@ def tts_with_vc(self, text: str, language: str = None, speaker_wav: str = None):
         """
         with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
             # Lazy code... save it to a temp file to resample it while reading it for VC
-            self.tts_to_file(text=text, speaker=None, language=language, file_path=fp.name,speaker_wav=speaker_wav)
+            self.tts_to_file(text=text, speaker=None, language=language, file_path=fp.name, speaker_wav=speaker_wav)
         if self.voice_converter is None:
             self.load_vc_model_by_name("voice_conversion_models/multilingual/vctk/freevc24")
         wav = self.voice_converter.voice_conversion(source_wav=fp.name, target_wav=speaker_wav)

TTS/bin/synthesize.py

@@ -427,7 +427,9 @@ def main():
                 tts_path = model_path
                 tts_config_path = config_path
                 if "default_vocoder" in model_item:
-                    args.vocoder_name = model_item["default_vocoder"] if args.vocoder_name is None else args.vocoder_name
+                    args.vocoder_name = (
+                        model_item["default_vocoder"] if args.vocoder_name is None else args.vocoder_name
+                    )
 
             # voice conversion model
             if model_item["model_type"] == "voice_conversion_models":