redirect training subprocess stderr to log file for debugging

run training as detached subprocess to survive Gradio session timeout

use bfloat16 precision for training to halve RAM usage

stop ace-server during training to free RAM, restart after, add log visibility

monkey-patch torchaudio.load to use soundfile backend

add LoRA training, fix css kwarg

full app: CLI + Gradio + training placeholder + MCP

rewrite app.py for ace-server HTTP API, no torch

clickable title

slim title

compact grid UI, 4B default, show training model

force float32 on training model for CPU

fix: LoRA rank param is 'r' not 'rank'

fix training: use LoRAConfigV2 instead of Union type alias

step 7: real app.py

step 6: +numba (all deps)

step 5: +vector-quantize-pytorch

step 4: +peft +torchvision

step 3: core deps without heavy ones

step label

step 1: bare gradio