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Hybrid approach mirroring English IPA: - Primary: wiki-pronunciation-dict (636k entries, CC-BY-SA, Wiktionary) - Fallback: epitran rule-based G2P (MIT license) IPA modes now use language-appropriate dictionaries: - auto/en: English IPA (Britfone + eng_to_ipa) - de: German IPA (wiki-pronunciation-dict + epitran) - all: EN column gets English IPA, other columns get German IPA - none: disabled Frontend shows CC-BY-SA attribution when German IPA is active. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
63 lines
1.4 KiB
Plaintext
63 lines
1.4 KiB
Plaintext
fastapi>=0.109.0
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uvicorn[standard]>=0.27.0
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python-multipart>=0.0.6
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pyjwt>=2.8.0
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httpx>=0.26.0
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python-dotenv>=1.0.0
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# BYOEH Dependencies
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qdrant-client>=1.7.0
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cryptography>=41.0.0
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PyPDF2>=3.0.0
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PyMuPDF>=1.24.0
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# PyTorch CPU-only (smaller, no CUDA needed for Docker on Mac)
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--extra-index-url https://download.pytorch.org/whl/cpu
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torch>=2.0.0
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# Local Embeddings (no API key needed)
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sentence-transformers>=2.2.0
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# MinIO Object Storage
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minio>=7.2.0
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# OpenCV for handwriting detection (headless = no GUI, smaller for CI)
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opencv-python-headless>=4.8.0
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# Tesseract OCR Python binding (requires system tesseract-ocr package)
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pytesseract>=0.3.10
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Pillow>=10.0.0
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# RapidOCR (PaddleOCR models on ONNX Runtime — works on ARM64 natively)
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rapidocr
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onnxruntime
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# IPA pronunciation dictionary lookup (MIT license, bundled CMU dict ~134k words)
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eng-to-ipa
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# German IPA rule-based fallback for OOV words (MIT license)
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epitran
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# Spell-checker for rule-based OCR correction (MIT license)
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pyspellchecker>=0.8.1
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# Syllable hyphenation for dictionary pipe-divider insertion (MIT license)
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pyphen>=0.16.0
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# PostgreSQL (for metrics storage)
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psycopg2-binary>=2.9.0
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asyncpg>=0.29.0
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# Email validation for Pydantic
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email-validator>=2.0.0
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# DOCX export for reconstruction editor (MIT license)
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python-docx>=1.1.0
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# ONNX model export and optimization (Apache-2.0)
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optimum[onnxruntime]>=1.17.0
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# Testing
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pytest>=8.0.0
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pytest-asyncio>=0.23.0
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