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

copy all shared libs including versioned symlinks

add pkg-config for BLAS detection

switch to acestep.cpp GGUF: XL turbo Q4_K_M + 4B LM Q5_K_M

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

add torchcodec for training audio loading

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 2: torch cpu-only

step 1: bare gradio

initial commit