Update TextGen/router.py

TextGen/router.py

@@ -63,7 +63,7 @@ song_base_api=os.environ["VERCEL_API"]
 
 my_hf_token=os.environ["HF_TOKEN"]
 
-tts_client = Client("Jofthomas/xtts",hf_token=my_hf_token)
+#tts_client = Client("Jofthomas/xtts",hf_token=my_hf_token)
 
 main_npcs={
  "Blacksmith":"./voices/Blacksmith.mp3",
@@ -143,33 +143,33 @@ def determine_vocie_from_npc(npc,genre):
 
 @app.post("/generate_wav")
 async def generate_wav(message: VoiceMessage):
- try:
- voice = determine_vocie_from_npc(message.npc, message.genre)
- audio_file_pth = handle_file(voice)
-
+# try:
+# voice = determine_vocie_from_npc(message.npc, message.genre)
+# audio_file_pth = handle_file(voice)
+#
  # Generator function to yield audio chunks
- async def audio_stream():
- result = tts_client.predict(
- prompt=message.input,
- language=message.language,
- audio_file_pth=audio_file_pth,
- mic_file_path=None,
- use_mic=False,
- voice_cleanup=False,
- no_lang_auto_detect=False,
- agree=True,
- api_name="/predict"
- )
- for sampling_rate, audio_chunk in result:
- yield audio_chunk.tobytes()
- await asyncio.sleep(0) # Yield control to the event loop
+# async def audio_stream():
+# result = tts_client.predict(
+# prompt=message.input,
+# language=message.language,
+# audio_file_pth=audio_file_pth,
+# mic_file_path=None,
+# use_mic=False,
+# voice_cleanup=False,
+# no_lang_auto_detect=False,
+# agree=True,
+# api_name="/predict"
+# )
+# for sampling_rate, audio_chunk in result:
+# yield audio_chunk.tobytes()
+# await asyncio.sleep(0) # Yield control to the event loop
 
  # Return the generated audio as a streaming response
- return StreamingResponse(audio_stream(), media_type="audio/wav")
-
- except Exception as e:
- raise HTTPException(status_code=500, detail=str(e))
+ # return StreamingResponse(audio_stream(), media_type="audio/wav")
 
+ # except Exception as e:
+ # raise HTTPException(status_code=500, detail=str(e))
+ return 200
 
 
 @app.get("/generate_voice_eleven", response_class=StreamingResponse)