chore(format): run black on main

core.py

@@ -26,7 +26,9 @@
 # Get TTS Voices -> https://speech.platform.bing.com/consumer/speech/synthesize/readaloud/voices/list?trustedclienttoken=6A5AA1D4EAFF4E9FB37E23D68491D6F4
 @lru_cache(maxsize=1)  # Cache only one result since the file is static
 def load_voices_data():
-    with open(os.path.join("rvc", "lib", "tools", "tts_voices.json"), "r", encoding="utf-8") as file:
+    with open(
+        os.path.join("rvc", "lib", "tools", "tts_voices.json"), "r", encoding="utf-8"
+    ) as file:
         return json.load(file)
 
 

rvc/infer/infer.py

@@ -255,6 +255,7 @@ def convert_audio(
 
             if upscale_audio == True:
                 from audio_upscaler import upscale
+
                 upscale(audio_input_path, audio_input_path)
             audio = load_audio_infer(
                 audio_input_path,

tabs/tts/tts.py

@@ -24,7 +24,9 @@
 
 default_weight = random.choice(names) if names else ""
 
-with open(os.path.join("rvc", "lib", "tools", "tts_voices.json"), "r", encoding="utf-8") as file:
+with open(
+    os.path.join("rvc", "lib", "tools", "tts_voices.json"), "r", encoding="utf-8"
+) as file:
     tts_voices_data = json.load(file)
 
 short_names = [voice.get("ShortName", "") for voice in tts_voices_data]