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

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

rename minimind→omni in model_type, eval/convert scripts, and docs

fix eval_llm: add --tokenizer_path/--native flags, auto-detect num_hidden_layers from checkpoint; update README with correct inference commands

Flatten src layout: drop omni namespace, modules live directly under src/

Restructure repo: rename classes, split datasets, organize trainers by modality, add YAML config + root trainer entry points