fix: normalize emotion2vec labels to clean English

feat: aggregate emotions from all detected faces

perf: increase emotion sampling to 4fps

perf: increase face emotion sampling from 0.5fps to 2fps

fix: correct HSEmotion-ONNX emotion label order

fix: switch to hsemotion-onnx for better portability

fix: use correct HuggingFace model paths for emotion2vec

chore: trigger rebuild to clear cached model failures

fix: use HuggingFace hub for emotion2vec download

fix: add better error logging for HSEmotion, try fallback model

fix: add missing dependencies for HSEmotion and emotion2vec

chore: force rebuild to update models endpoint

debug: add /models endpoint to check model loading status

feat: add HSEmotion + emotion2vec for real emotion detection

refactor: minimal v4.0 - stripped to essentials (whisper + wav2vec2 + opencv)

revert: restore bc0dc88 app.py without keep-alive changes

fix: add keep-alive progress during voice analysis to prevent SSE timeout

revert: restore midnight working state (bc0dc88) - 0.5 FPS hardcoded, no fps param

revert: restore 11pm working state (before fps/ffmpeg changes)

fix: add progress update during merge_timelines to prevent timeout

fix: use fps parameter from API request instead of hardcoded 0.5

fix: correct indentation in face analysis function

feat: use ffmpeg frame extraction instead of re-encoding

fix: simplify re-encoding to avoid subprocess deadlock

fix: skip NVENC, use ultrafast CPU with progress logging

perf: use NVIDIA NVENC for fast H.264 re-encoding

feat: add H.264 re-encoding for AV1/VP9 codec compatibility

feat: add keep-alive progress during vocal emotion analysis

chore: force Docker rebuild

feat: add /analyze_image endpoint for single image analysis

chore: trigger rebuild

fix: pin scipy<1.12 for py-feat binom_test compatibility

feat: add blink rate, gaze, body pose, hands, vocal emotion, filler words

fix: remove conflicting retinaface package, use DeepFace backend

feat: add multi-model face analysis with feature toggles

fix: use CUDA 12.1 base image for ctranslate2 compatibility

fix: update PyTorch to CUDA 12.1 for L4 GPU compatibility

fix: add app_port config for Docker Space routing

fix: restore sys import (used for stdout.flush)

fix: remove audioop-lts (not needed for Python 3.10)

fix: use libgl1 instead of deprecated libgl1-mesa-glx

fix: switch to Docker SDK for FastAPI compatibility

chore: bump version to force rebuild

fix: use captured event loop in SSE thread

fix: force English language for Whisper transcription

fix: return full voice emotion distribution

feat: add SSE progress streaming endpoint

Rewrite to FastAPI - no more Gradio version conflicts

Fix: remove gradio conflict, upgrade gradio-client

Fix: upgrade Gradio to 4.44+ to fix TypeError