Dennis Thiessen
8631e286bd
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Deploy FluentGerman.ai / deploy (push) Failing after 27s
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
"""FluentGerman.ai — Voice service (API provider + browser fallback)."""
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import io
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import logging
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import openai
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from app.config import get_settings
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async def transcribe(audio_bytes: bytes, filename: str = "audio.webm") -> str:
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"""Transcribe audio to text using OpenAI Whisper API."""
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settings = get_settings()
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# Use dedicated OpenAI key if available, otherwise fallback to LLM key
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api_key = settings.openai_api_key or settings.llm_api_key
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key_type = "OPENAI_API_KEY" if settings.openai_api_key else "LLM_API_KEY"
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masked = f"{api_key[:4]}...{api_key[-4:]}" if api_key and len(api_key) > 8 else "EMPTY"
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logging.getLogger("fluentgerman.voice").info(f"Transcribing with {key_type}: {masked}")
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client = openai.AsyncOpenAI(api_key=api_key)
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audio_file = io.BytesIO(audio_bytes)
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audio_file.name = filename
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transcript = await client.audio.transcriptions.create(
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model=settings.stt_model,
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file=audio_file,
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)
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return transcript.text
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async def synthesize(text: str) -> bytes:
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"""Synthesize text to speech using OpenAI TTS API."""
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settings = get_settings()
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# Use dedicated OpenAI key if available, otherwise fallback to LLM key
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api_key = settings.openai_api_key or settings.llm_api_key
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key_type = "OPENAI_API_KEY" if settings.openai_api_key else "LLM_API_KEY"
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masked = f"{api_key[:4]}...{api_key[-4:]}" if api_key and len(api_key) > 8 else "EMPTY"
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logging.getLogger("fluentgerman.voice").info(f"Synthesizing with {key_type}: {masked}")
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client = openai.AsyncOpenAI(api_key=api_key)
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response = await client.audio.speech.create(
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model=settings.tts_model,
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voice=settings.tts_voice,
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input=text,
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response_format="mp3",
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)
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return response.content
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