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chore: merge master → dev/video-fer (SSE transcribe-stream)
Changes from master: - Switch to evoxtral-rl model - RL training pipeline, technical report (docs only, PDF excluded) - Updated README and model card From dev/video-fer: - FER LFS pointer detection and auto-download - Streaming emotion/valence/arousal from bracket tags - Inline bracket badges with seek-on-click - Async job polling in proxy (fallback for local inference)aa15e90
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fix: detect Git LFS pointer in FER model, auto-download real binary
If Docker COPY models/ copies a Git LFS pointer instead of the actual ONNX binary, _init_fer() now: 1. Logs file size + first bytes for diagnosis 2. Detects LFS pointer (file <10KB starting with "version https://git-lfs") 3. Downloads the real binary from HF Space resolve URL 4. Loads the downloaded binary instead Also adds onnxruntime version logging and full traceback on load failure.d0d44f6 -
feat: per-second FER timeline for live emotion panel
5fa0792 -
fix: correct FER model path and STT error propagation
1057f87 -
fix: add required language= arg to apply_transcription_request()
4ee7e7e -
debug: add /debug-inference endpoint to smoke-test local model
ef7f038 -
fix: use bfloat16 on CPU to halve memory usage (~6 GB vs ~12 GB)
float32 exceeded HF Spaces 16 GiB limit. bfloat16 supported on PyTorch CPU since 1.12.64b796f -
refactor: restructure repo into api/ proxy/ web/ training/ docs/
- model/voxtral-server/ -> api/ - demo/server/ -> proxy/ - demo/ -> web/ - src/ + scripts/ -> training/ - .context/ + model_card/ -> docs/ - Dockerfile and supervisord.conf paths updated - README rewrittena265585