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Tune xưng hô: prefer tôi/cô (tôi/anh) for same-gender rivals over coarse mày/tao
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Improve subtitle merge, gender-aware xưng hô, Colab tuning, add tests
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Colab: CTX_SIZE 8192 to reduce context overflow errors
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Merge scene vision + translation into single call; 1 frame per cue at start
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Minimal translation JSON: index+translated only, drop verbose notes
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Colab: default FORCE_LLAMA_REBUILD=False to use Drive cache
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Fix scene vision crash, salvage truncated JSON, retry on HTTP 400
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Remove accidental full-project upload from HF repo
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Clean HF repo: remove accidental full-project upload
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Fix llama.cpp pin: clone tag b9553 instead of short commit ref
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Fix llama.cpp pin: clone tag b9553 instead of short commit ref
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Colab: MTP config (FORCE_LLAMA_REBUILD, CTX_SIZE, scene speed options)
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Fix MTP: longer startup timeout, -ngld flag, pin llama.cpp b9553
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Update translate_srt.py and pipeline scripts
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Fix titled-name regex: honorific case-insensitive but name stays capitalized (no more 'Cô Thời ơi tỉ mỉ' corruption)
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NAME GUIDE: infer character gender for titled names (fix Thầy/Cô honorific)
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Update pipeline + slim Colab notebook (HF-only code source)
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Add speaker-report reuse and relationship/vision Pass 2 improvements
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Lock anh/em pronouns and Pass 2 multi-frame scene vision
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Upload translate_srt.py with huggingface_hub
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Upload translate_srt.py with huggingface_hub
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Upload folder using huggingface_hub
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Fix MTP detection in scripts/ensure_llama_colab.py
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Fix MTP detection: use draft-mtp in --help not version number
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Auto-rebuild llama-server >= b9549 for Gemma 4 MTP
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Update colab/GemmaSRT_Colab.ipynb (HF_TOKEN empty)
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Strip HF_TOKEN from local notebook
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Update colab/GemmaSRT_Colab.ipynb
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Code prep: auto-fallback drive->HF when Drive code missing
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Default CODE_SOURCE=hf (always pull latest code from HF)
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age/gender: robust post_init + dict tied keys; add model preflight in notebook
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Fix age/gender model: post_init + dict all_tied_weights_keys
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Add diarization progress logs [diarize] Step X/Y
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Fix age/gender model on Colab transformers; fallback pitch, keep speaker tags
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Colab: numpy/lightning fix, pyannote Agree URLs, diarize errors
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Colab: pin numpy<2.1 for pyannote
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Colab: verify models + pyannote before pipeline
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Fix colab/GemmaSRT_Colab.ipynb JSON (HF_TOKEN sanitize)
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Fix broken notebook JSON (HF_TOKEN sanitize)
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Colab: simplify HF_TOKEN — paste manually in config cell
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Docs: how to open Colab when repo is private (401 fix)
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Colab: ENABLE_DIARIZE=True by default
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Colab: HF_TOKEN auth for private repo (Secrets or config cell)
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Add Pass 0 speaker diarization (age/gender) to Colab + secret-free token loading
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Clarify notebook docs: SKIP_CORRECTION default True, pipeline table
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Clarify SKIP_CORRECTION notes; default skip OCR
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Default SKIP_CORRECTION=True (skip OCR by default)
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Sync latest translate_srt, colab notebook, ensure_llama_colab
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Loosen subtitle budget; disable Pass 2b shorten by default
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Merge adjacent cue pairs for wider dubbing timestamps
