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Commit History
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feat: industry-grade AI mastering (reference matching + genre + multiband limiter)
Deploy Bot +1: Claude- Replace uniform-gain brick-wall with pedalboard.Limiter (lookahead, transient-aware) - Add analyze_extended() — 6 new features (crest factor, stereo width, spectral centroid/flatness, band energy, A-weighted loudness) - Add classify_genre() — lazy-loaded MIT/ast-finetuned-audioset HF model - Add reference_master() — Matchering 2.0 wrapper for reference-based mastering - New /api/reference-master endpoint (Matchering target+reference) - Wire genre classification into /api/ai-master (LLM context + response payload) - Expand llm.py prompt with extended features + 4 new rules (crest factor, stereo width, genre weighting, band-energy guidance) - New ReferenceMasterZone.tsx + AnalysisExtendedPanel.tsx components - AIMasterZone wired into App.tsx idle screen; AnalysisExtendedPanel wired into AIMasterZone - Dockerfile + render.yaml: REFERENCE_MASTERING_ENABLED=true, GENRE_CLASSIFICATION_ENABLED=true - requirements.txt: matchering==2.0.6, transformers>=4.40.0, torch>=2.0.0 - Move deprecated t…ad1aade
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Initial commit: AI Audio Mastering app with HF Spaces deployment
Deploy Botf06cb20