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Update app.py
Browse files
app.py
CHANGED
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@@ -92,8 +92,16 @@ async def transcribe_audio(request: AudioRequest):
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@app.post("/synthesize")
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async def synthesize_speech(request: TTSRequest):
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try:
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logger.info("Calling synthesize function")
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result, filtered_text = synthesize(request.text, request.language, request.speed)
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@@ -104,7 +112,7 @@ async def synthesize_speech(request: TTSRequest):
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raise ValueError("Synthesis failed to produce audio")
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sample_rate, audio = result
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logger.info(f"Synthesis result: sample_rate={sample_rate}, audio_shape={audio.shape}, audio_dtype={audio.dtype}")
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logger.info("Converting audio to numpy array")
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audio = np.array(audio, dtype=np.float32)
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@@ -114,7 +122,8 @@ async def synthesize_speech(request: TTSRequest):
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max_value = np.max(np.abs(audio))
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if max_value == 0:
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logger.warning("Audio array is all zeros")
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logger.info(f"Normalized audio range: [{audio.min()}, {audio.max()}]")
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logger.info("Converting to int16")
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@@ -136,16 +145,26 @@ async def synthesize_speech(request: TTSRequest):
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logger.info("FileResponse prepared successfully")
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return response
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except Exception as e:
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logger.error(f"
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error_details = {
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"error": str(e),
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"traceback": traceback.format_exc()
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}
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return JSONResponse(
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status_code=500,
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content={"message": "An error occurred during speech synthesis", "details": error_details}
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)
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@app.post("/identify")
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async def identify_language(request: AudioRequest):
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@app.post("/synthesize")
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async def synthesize_speech(request: TTSRequest):
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logger.info(f"Synthesize request received: text='{request.text}', language='{request.language}', speed={request.speed}")
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try:
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# Input validation
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logger.info("Validating input parameters")
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if not request.text:
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raise ValueError("Text cannot be empty")
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if request.language not in TTS_LANGUAGES:
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raise ValueError(f"Unsupported language: {request.language}")
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if not 0.5 <= request.speed <= 2.0:
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raise ValueError(f"Speed must be between 0.5 and 2.0, got {request.speed}")
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logger.info("Calling synthesize function")
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result, filtered_text = synthesize(request.text, request.language, request.speed)
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raise ValueError("Synthesis failed to produce audio")
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sample_rate, audio = result
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logger.info(f"Synthesis result: sample_rate={sample_rate}, audio_shape={audio.shape if isinstance(audio, np.ndarray) else 'not numpy array'}, audio_dtype={audio.dtype if isinstance(audio, np.ndarray) else type(audio)}")
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logger.info("Converting audio to numpy array")
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audio = np.array(audio, dtype=np.float32)
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max_value = np.max(np.abs(audio))
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if max_value == 0:
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logger.warning("Audio array is all zeros")
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raise ValueError("Generated audio is silent (all zeros)")
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audio = audio / max_value
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logger.info(f"Normalized audio range: [{audio.min()}, {audio.max()}]")
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logger.info("Converting to int16")
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logger.info("FileResponse prepared successfully")
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return response
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except ValueError as ve:
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logger.error(f"ValueError in synthesize_speech: {str(ve)}", exc_info=True)
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return JSONResponse(
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status_code=400,
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content={"message": "Invalid input", "details": str(ve)}
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)
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except Exception as e:
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logger.error(f"Unexpected error in synthesize_speech: {str(e)}", exc_info=True)
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error_details = {
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"error": str(e),
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"type": type(e).__name__,
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"traceback": traceback.format_exc()
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}
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return JSONResponse(
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status_code=500,
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content={"message": "An unexpected error occurred during speech synthesis", "details": error_details}
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)
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finally:
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logger.info("Synthesize request completed")
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@app.post("/identify")
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async def identify_language(request: AudioRequest):
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