Add video call screenshot to README

Add assets directory

Simplify voice_args: remove redundant fallback chain, require explicit name

Remove silence-generated default voice; use cloned voice as default when available

Generate default voice from silence on startup; fix voice fallback priority

Fix: remove duplicate voiceSel declaration breaking UI

Revert "Generate default voice from silence when no voices available"

Voice selector: inline popup with groups (builtin/unseen/manual), delete cloned voices, outside-click close

Generate default voice from silence when no voices available

Fix: voice clone mic null when not in call mode

Fix: create model/speaker dir on demand for voice clone

Fix voice clone, path defaults, README rewrite; add pydub dep

Rewrite README in English with codev-style layout; add Xet install guide

Add training checkpoints and dataset via LFS

Add checkpoint files via LFS

Fix siglip README metadata for HF upload

Update docs: challenges.md (training bias + scene text approach), vam/multimodal/trainers docs sync

Add NaN guard to audio code generation path

Remove hardcoded '请描述这张图片' from camera prompt

Revert "Remove '请描述这张图片' from camera prompt; img_tokens before user text"

Revert "Camera: inject scene text instead of raw img_tokens to avoid description mode"

Revert "Fix scene refresh starving conversation: non-blocking lock + SCENE_LOCK guard"

Fix scene refresh starving conversation: non-blocking lock + SCENE_LOCK guard

Camera: inject scene text instead of raw img_tokens to avoid description mode

Remove '请描述这张图片' from camera prompt; img_tokens before user text

Revert camera prompt changes; add NaN guard and CUDA sync; add engineering challenges doc

Add suppression prefix before image tokens

Camera context improvements: image tokens before user text + system prompt

Cast logits to float32 before softmax/sampling to prevent fp16 overflow

Remove hardcoded '请描述这张图片'; image tokens alone suffice

Fix camera: don't force 'describe this image' when user has text input

Update README: add omni-o HF conversion, call server, and frontend

Move audio/vision encoder .to(device) after model init for both HF and .pth paths

Fix from_pretrained: use SenseVoice/Siglip encoder wrappers instead of raw models

Default to HF format loading in omni_o_call.py

Convert omni-o.pth to HF format + add from_pretrained support

Replace web_demo.html with omni_o_web.html: self-contained frontend for omni-o call

Rewrite omni_o_terminal.py: add real-time interrupt/barge-in

Add omni_o_terminal.py: terminal voice chat script

Add omni_o_call.py: real-time voice call server for omni-o checkpoint

Fix eval_vam.py: update paths to checkpoint/ dirs, fix VAMConfig attn heads, remove open_thinking kwarg

Fix generate() to return last text tokens instead of (None, audio_frame) tuple

fix VAM: funasr+pyarrow deadlock, librosa+numpy compat, reduce iter_batches batch_size

feat: add VAM T2A config variant using omni-v initialization

feat: rename & add VAM mini pipeline configs

feat: add VAM SFT mini training (T2A Stage 1)

feat: add interactive mode to eval_vlm.py with auto <image> insertion, update README

feat: add VLM SFT mini configs, resume training, dataset streaming, and eval fixes

refactor: rename VLM configs, add VLM SFT configs, and improve model loading

refactor: reorganize dataset into lm/vlm/vam subdirectories