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| fastapi==0.115.0 | |
| uvicorn==0.30.6 | |
| pdfplumber==0.11.4 | |
| python-docx==1.1.2 | |
| python-multipart==0.0.9 | |
| pydantic==2.8.2 | |
| # Text-to-speech: Kokoro-82M via ONNX Runtime (fp32 export — identical weights | |
| # to the torch release, so no quality loss) with misaki providing the same | |
| # English G2P the torch pipeline uses. 2-4x faster than torch on CPU and keeps | |
| # torch (~2GB) out of the image. Model files are fetched in the Dockerfile | |
| # (or point KOKORO_ONNX_MODEL / KOKORO_ONNX_VOICES at them). | |
| # The /tts route still degrades gracefully to 503 if anything is missing. | |
| kokoro-onnx>=0.4.9 | |
| misaki[en]>=0.9.4 | |
| soundfile>=0.12.1 | |
| # Optional torch fallback (heavy): `pip install kokoro>=0.9.2` — picked up | |
| # automatically by TTS_BACKEND=auto when the ONNX model files are absent. | |