tezuesh commited on
Commit
581f5e4
·
verified ·
1 Parent(s): 1b96d91

Update server.py

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Files changed (1) hide show
  1. server.py +29 -11
server.py CHANGED
@@ -94,15 +94,37 @@ def health_check():
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  return status
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  @app.post("/api/v1/inference")
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  async def inference(request: AudioRequest) -> AudioResponse:
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- """Run inference on audio input"""
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- if not INITIALIZATION_STATUS["model_loaded"]:
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- raise HTTPException(
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- status_code=503,
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- detail=f"Model not ready. Status: {INITIALIZATION_STATUS}"
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- )
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-
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  try:
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  # Decode audio from base64
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  audio_bytes = base64.b64decode(request.audio_data)
@@ -120,10 +142,6 @@ async def inference(request: AudioRequest) -> AudioResponse:
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  audio_data=audio_b64,
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  text=result.get("text", "")
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  )
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- except Exception as e:
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- logger.error(f"Inference failed: {str(e)}")
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- raise HTTPException(status_code=500, detail=str(e))
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-
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  if __name__ == "__main__":
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  import uvicorn
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  uvicorn.run(app, host="0.0.0.0", port=8000)
 
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  return status
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+ # @app.post("/api/v1/inference")
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+ # async def inference(request: AudioRequest) -> AudioResponse:
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+ # """Run inference on audio input"""
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+ # if not INITIALIZATION_STATUS["model_loaded"]:
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+ # raise HTTPException(
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+ # status_code=503,
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+ # detail=f"Model not ready. Status: {INITIALIZATION_STATUS}"
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+ # )
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+
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+ # try:
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+ # # Decode audio from base64
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+ # audio_bytes = base64.b64decode(request.audio_data)
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+ # audio_array = np.load(io.BytesIO(audio_bytes))
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+
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+ # # Run inference
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+ # result = model.inference(audio_array, request.sample_rate)
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+
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+ # # Encode output audio
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+ # buffer = io.BytesIO()
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+ # np.save(buffer, result['audio'])
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+ # audio_b64 = base64.b64encode(buffer.getvalue()).decode()
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+
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+ # return AudioResponse(
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+ # audio_data=audio_b64,
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+ # text=result.get("text", "")
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+ # )
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+ # except Exception as e:
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+ # logger.error(f"Inference failed: {str(e)}")
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+ # raise HTTPException(status_code=500, detail=str(e))
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  @app.post("/api/v1/inference")
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  async def inference(request: AudioRequest) -> AudioResponse:
 
 
 
 
 
 
 
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  try:
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  # Decode audio from base64
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  audio_bytes = base64.b64decode(request.audio_data)
 
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  audio_data=audio_b64,
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  text=result.get("text", "")
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  )
 
 
 
 
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  if __name__ == "__main__":
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  import uvicorn
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  uvicorn.run(app, host="0.0.0.0", port=8000)