Update voice_processing.py

voice_processing.py

@@ -1,4 +1,3 @@
-import asyncio
 import datetime
 import logging
 import os
@@ -34,7 +33,7 @@ limitation = os.getenv("SYSTEM") == "spaces"
 config = Config()
 
 # Edge TTS
-tts_voice_list = asyncio.get_event_loop().run_until_complete(edge_tts.list_voices())
+tts_voice_list = edge_tts.list_voices()
 tts_voices = ["mn-MN-BataaNeural", "mn-MN-YesuiNeural"]  # Specific voices
 
 # RVC models
@@ -45,10 +44,6 @@ models.sort()
 def get_unique_filename(extension):
     return f"{uuid.uuid4()}.{extension}"
 
-
-#edge_output_filename = get_unique_filename("mp3")
-
-
 def model_data(model_name):
     # global n_spk, tgt_sr, net_g, vc, cpt, version, index_file
     pth_path = [
@@ -118,7 +113,7 @@ def get_model_names():
     model_root = "weights"  # Assuming this is where your models are stored
     return [d for d in os.listdir(model_root) if os.path.isdir(f"{model_root}/{d}")]
 
-async def tts(
+def tts(
     model_name,
     tts_text,
     tts_voice,
@@ -163,7 +158,7 @@ async def tts(
             # Invoke Edge TTS
             t0 = time.time()
             speed_str = f"+{speed}%" if speed >= 0 else f"{speed}%"
-            await edge_tts.Communicate(
+            edge_tts.Communicate(
                 tts_text, tts_voice, rate=speed_str
             ).save(edge_output_filename)
             t1 = time.time()
@@ -245,4 +240,3 @@ voice_mapping = {
 hubert_model = load_hubert()
 
 rmvpe_model = RMVPE("rmvpe.pt", config.is_half, config.device)
-