Merge pull request #1226 from IAHispano/formatter/main

chore(format): run black on main

Author: Vidalnt

rvc/infer/infer.py

@@ -218,7 +218,7 @@ def convert_audio(
     ):
         """
         Performs voice conversion on the input audio.
-    
+
         Args:
             pitch (int): Key for F0 up-sampling.
             index_rate (float): Rate for index matching.
@@ -245,26 +245,26 @@ def convert_audio(
         if not model_path:
             print("No model path provided. Aborting conversion.")
             return
-    
+
         self.get_vc(model_path, sid)
-    
+
         start_time = time.time()
         print(f"Converting audio '{audio_input_path}'...")
-    
+
         audio = load_audio_infer(
             audio_input_path,
             16000,
             **kwargs,
         )
         audio_max = np.abs(audio).max() / 0.95
-    
+
         if audio_max > 1:
             audio /= audio_max
-    
+
         if not self.hubert_model or embedder_model != self.last_embedder_model:
             self.load_hubert(embedder_model, embedder_model_custom)
             self.last_embedder_model = embedder_model
-    
+
         file_index = (
             index_path.strip()
             .strip('"')
@@ -273,17 +273,17 @@ def convert_audio(
             .strip()
             .replace("trained", "added")
         )
-    
+
         if self.tgt_sr != resample_sr >= 16000:
             self.tgt_sr = resample_sr
-    
+
         if split_audio:
             chunks, intervals = process_audio(audio, 16000)
             print(f"Audio split into {len(chunks)} chunks for processing.")
         else:
             chunks = []
             chunks.append(audio)
-    
+
         converted_chunks = []
         for c in chunks:
             audio_opt = self.vc.pipeline(
@@ -307,42 +307,41 @@ def convert_audio(
             converted_chunks.append(audio_opt)
             if split_audio:
                 print(f"Converted audio chunk {len(converted_chunks)}")
-    
+
         if split_audio:
             audio_opt = merge_audio(
                 chunks, converted_chunks, intervals, 16000, self.tgt_sr
             )
         else:
             audio_opt = converted_chunks[0]
-    
+
         if clean_audio:
             cleaned_audio = self.remove_audio_noise(
                 audio_opt, self.tgt_sr, clean_strength
             )
             if cleaned_audio is not None:
                 audio_opt = cleaned_audio
-    
+
         if post_process:
             audio_opt = self.post_process_audio(
                 audio_input=audio_opt,
                 sample_rate=self.tgt_sr,
                 **kwargs,
             )
-    
+
         sf.write(audio_output_path, audio_opt, self.tgt_sr, format="WAV")
         output_path_format = audio_output_path.replace(
             ".wav", f".{export_format.lower()}"
         )
         audio_output_path = self.convert_audio_format(
             audio_output_path, output_path_format, export_format
         )
-    
+
         elapsed_time = time.time() - start_time
         print(
             f"Conversion completed at '{audio_output_path}' in {elapsed_time:.2f} seconds."
         )
-    
-    
+
     def convert_audio_batch(
         self,
         audio_input_paths: str,
@@ -351,7 +350,7 @@ def convert_audio_batch(
     ):
         """
         Performs voice conversion on a batch of input audio files.
-    
+
         Args:
             audio_input_paths (str): List of paths to the input audio files.
             audio_output_path (str): Path to the output audio file.

rvc/lib/tools/tts.py

@@ -3,6 +3,7 @@
 import sys
 import edge_tts
 
+
 async def main():
     tts_file = str(sys.argv[1])
     text = str(sys.argv[2])

tabs/inference/inference.py

@@ -525,9 +525,11 @@ def inference_tab():
             index_file = gr.Dropdown(
                 label=i18n("Index File"),
                 info=i18n("Select the index file to use for the conversion."),
-                choices=[("No Index", "")] + [(x, x) for x in index_files]
-                if index_files
-                else [],
+                choices=(
+                    [("No Index", "")] + [(x, x) for x in index_files]
+                    if index_files
+                    else []
+                ),
                 value=match_index(default_weight),
                 interactive=True,
                 allow_custom_value=True,

tabs/realtime/realtime.py

@@ -1181,9 +1181,11 @@ def realtime_tab():
                     index_choices = sorted(get_files("index"))
                     index_file = gr.Dropdown(
                         label=i18n("Index File"),
-                        choices=[("No Index", "")] + [(x, x) for x in index_choices]
-                        if index_choices
-                        else [],
+                        choices=(
+                            [("No Index", "")] + [(x, x) for x in index_choices]
+                            if index_choices
+                            else []
+                        ),
                         value=get_safe_index_value(
                             saved_settings["index_file"],
                             index_choices,

tabs/tts/tts.py

@@ -73,9 +73,11 @@ def tts_tab():
             index_file = gr.Dropdown(
                 label=i18n("Index File"),
                 info=i18n("Select the index file to use for the conversion."),
-                choices=[("No Index", "")] + [(x, x) for x in index_files]
-                if index_files
-                else [],
+                choices=(
+                    [("No Index", "")] + [(x, x) for x in index_files]
+                    if index_files
+                    else []
+                ),
                 value=match_index(default_weight),
                 interactive=True,
                 allow_custom_value=True,