Update TextGen/router.py

TextGen/router.py

@@ -51,8 +51,7 @@ song_base_api=os.environ["VERCEL_API"]
 
 my_hf_token=os.environ["HF_TOKEN"]
 
-tts_client = Client("https://jofthomas-xtts.hf.space/",hf_token=my_hf_token)
-
+tts_client = Client("Jofthomas/xtts",hf_token=my_hf_token)
 
 main_npcs={
     "Blacksmith":"./voices/Blacksmith.mp3",
@@ -134,15 +133,15 @@ async def generate_wav(message:VoiceMessage):
         voice=determine_vocie_from_npc(message.npc, message.genre)
         # Use the Gradio client to generate the wav file
         result = tts_client.predict(
-            message.input,  # str in 'Text Prompt' Textbox component
-            message.language,  # str in 'Language' Dropdown component
-            voice,  # str (filepath on your computer (or URL) of file) in 'Reference Audio' Audio component
-            voice,  # str (filepath on your computer (or URL) of file) in 'Use Microphone for Reference' Audio component
-            False,  # bool in 'Use Microphone' Checkbox component
-            False,  # bool in 'Cleanup Reference Voice' Checkbox component
-            False,  # bool in 'Do not use language auto-detect' Checkbox component
-            True,  # bool in 'Agree' Checkbox component
-            fn_index=1
+          prompt=message.input,
+          language=message.language,
+          audio_file_pth=handle_file(voice),
+          mic_file_path=None,
+          use_mic=False,
+          voice_cleanup=False,
+          no_lang_auto_detect=False,
+          agree=True,
+          api_name="/predict"
         )
 
         # Get the path of the generated wav file