~idSrSSKJr SSKrSSKJr SSKJr SSK J r SSK J r S Sjr S S S jjrg) zAGradio UI training-tab facade that composes focused tab builders.) annotationsN)DEBUG_TRAINING)create_dataset_builder_tab)create_training_lokr_tab)create_training_lora_tabcp[[5R5R5S:gnU(agg)z>Return epoch slider defaults adjusted for training debug mode.OFF)r r )dr i)strrstripupper)debug_training_enableds D/mnt/workspace/ACE-Step-1.5/acestep/ui/gradio/interfaces/training.py_resolve_epoch_slider_defaultsrs/!0668>>@EI c AAA[5up4n[R"S5 0n[R"5 UR [ 55 UR [ UUUS95 UR [55 [R"S5n[R"SSS.5nUR UUS.5 SSS5 U$!,(df  U$=f)a(Create the training-tab content without the outer ``gr.Tab`` wrapper. Args: dit_handler: DiT handler instance. llm_handler: LLM handler instance. init_params: Optional initialization parameters. Returns: Mapping of component keys to Gradio components for training-event wiring. u

🎵 LoRA Training for ACE-Step

Build datasets from your audio files and train custom LoRA adapters

) epoch_min epoch_step epoch_defaultNF) is_training should_stop)dataset_builder_statetraining_state) rgrHTMLTabsupdaterrrState) dit_handler llm_handler init_paramsrrrtraining_sectionrrs rcreate_training_sectionr$s [++I+K(I=GG +-  : <= $#%+    8 :; "%"NO)>"0   $ % $ s BC C')returnztuple[int, int, int])N)r%dict)__doc__ __future__rgradioracestep.constantsr9acestep.ui.gradio.interfaces.training_dataset_builder_tabr.acestep.ui.gradio.interfaces.training_lokr_tabr.acestep.ui.gradio.interfaces.training_lora_tabrrr$rrr/s)G",TS,r