File size: 36,253 Bytes
9f5c8f7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 |
"""
Gradio UI Generation Section Module
Contains generation section component definitions
"""
import gradio as gr
from acestep.constants import (
VALID_LANGUAGES,
TRACK_NAMES,
TASK_TYPES_TURBO,
TASK_TYPES_BASE,
DEFAULT_DIT_INSTRUCTION,
)
from acestep.gradio_ui.i18n import t
def create_generation_section(dit_handler, llm_handler, init_params=None, language='en') -> dict:
"""Create generation section
Args:
dit_handler: DiT handler instance
llm_handler: LM handler instance
init_params: Dictionary containing initialization parameters and state.
If None, service will not be pre-initialized.
language: UI language code ('en', 'zh', 'ja')
"""
# Check if service is pre-initialized
service_pre_initialized = init_params is not None and init_params.get('pre_initialized', False)
# Check if running in service mode (restricted UI)
service_mode = init_params is not None and init_params.get('service_mode', False)
# Get current language from init_params if available
current_language = init_params.get('language', language) if init_params else language
with gr.Group():
# Service Configuration - collapse if pre-initialized, hide if in service mode
accordion_open = not service_pre_initialized
accordion_visible = not service_pre_initialized # Hide when running in service mode
with gr.Accordion(t("service.title"), open=accordion_open, visible=accordion_visible) as service_config_accordion:
# Language selector at the top
with gr.Row():
language_dropdown = gr.Dropdown(
choices=[
("English", "en"),
("中文", "zh"),
("日本語", "ja"),
],
value=current_language,
label=t("service.language_label"),
info=t("service.language_info"),
scale=1,
)
# Dropdown options section - all dropdowns grouped together
with gr.Row(equal_height=True):
with gr.Column(scale=4):
# Set checkpoint value from init_params if pre-initialized
checkpoint_value = init_params.get('checkpoint') if service_pre_initialized else None
checkpoint_dropdown = gr.Dropdown(
label=t("service.checkpoint_label"),
choices=dit_handler.get_available_checkpoints(),
value=checkpoint_value,
info=t("service.checkpoint_info")
)
with gr.Column(scale=1, min_width=90):
refresh_btn = gr.Button(t("service.refresh_btn"), size="sm")
with gr.Row():
# Get available acestep-v15- model list
available_models = dit_handler.get_available_acestep_v15_models()
default_model = "acestep-v15-turbo" if "acestep-v15-turbo" in available_models else (available_models[0] if available_models else None)
# Set config_path value from init_params if pre-initialized
config_path_value = init_params.get('config_path', default_model) if service_pre_initialized else default_model
config_path = gr.Dropdown(
label=t("service.model_path_label"),
choices=available_models,
value=config_path_value,
info=t("service.model_path_info")
)
# Set device value from init_params if pre-initialized
device_value = init_params.get('device', 'auto') if service_pre_initialized else 'auto'
device = gr.Dropdown(
choices=["auto", "cuda", "cpu"],
value=device_value,
label=t("service.device_label"),
info=t("service.device_info")
)
with gr.Row():
# Get available 5Hz LM model list
available_lm_models = llm_handler.get_available_5hz_lm_models()
default_lm_model = "acestep-5Hz-lm-0.6B" if "acestep-5Hz-lm-0.6B" in available_lm_models else (available_lm_models[0] if available_lm_models else None)
# Set lm_model_path value from init_params if pre-initialized
lm_model_path_value = init_params.get('lm_model_path', default_lm_model) if service_pre_initialized else default_lm_model
lm_model_path = gr.Dropdown(
label=t("service.lm_model_path_label"),
choices=available_lm_models,
value=lm_model_path_value,
info=t("service.lm_model_path_info")
)
# Set backend value from init_params if pre-initialized
backend_value = init_params.get('backend', 'vllm') if service_pre_initialized else 'vllm'
backend_dropdown = gr.Dropdown(
choices=["vllm", "pt"],
value=backend_value,
label=t("service.backend_label"),
info=t("service.backend_info")
)
# Checkbox options section - all checkboxes grouped together
with gr.Row():
# Set init_llm value from init_params if pre-initialized
init_llm_value = init_params.get('init_llm', True) if service_pre_initialized else True
init_llm_checkbox = gr.Checkbox(
label=t("service.init_llm_label"),
value=init_llm_value,
info=t("service.init_llm_info"),
)
# Auto-detect flash attention availability
flash_attn_available = dit_handler.is_flash_attention_available()
# Set use_flash_attention value from init_params if pre-initialized
use_flash_attention_value = init_params.get('use_flash_attention', flash_attn_available) if service_pre_initialized else flash_attn_available
use_flash_attention_checkbox = gr.Checkbox(
label=t("service.flash_attention_label"),
value=use_flash_attention_value,
interactive=flash_attn_available,
info=t("service.flash_attention_info_enabled") if flash_attn_available else t("service.flash_attention_info_disabled")
)
# Set offload_to_cpu value from init_params if pre-initialized
offload_to_cpu_value = init_params.get('offload_to_cpu', False) if service_pre_initialized else False
offload_to_cpu_checkbox = gr.Checkbox(
label=t("service.offload_cpu_label"),
value=offload_to_cpu_value,
info=t("service.offload_cpu_info")
)
# Set offload_dit_to_cpu value from init_params if pre-initialized
offload_dit_to_cpu_value = init_params.get('offload_dit_to_cpu', False) if service_pre_initialized else False
offload_dit_to_cpu_checkbox = gr.Checkbox(
label=t("service.offload_dit_cpu_label"),
value=offload_dit_to_cpu_value,
info=t("service.offload_dit_cpu_info")
)
init_btn = gr.Button(t("service.init_btn"), variant="primary", size="lg")
# Set init_status value from init_params if pre-initialized
init_status_value = init_params.get('init_status', '') if service_pre_initialized else ''
init_status = gr.Textbox(label=t("service.status_label"), interactive=False, lines=3, value=init_status_value)
# LoRA Configuration Section
gr.HTML("<hr><h4>🔧 LoRA Adapter</h4>")
with gr.Row():
lora_path = gr.Textbox(
label="LoRA Path",
placeholder="./lora_output/final/adapter",
info="Path to trained LoRA adapter directory",
scale=3,
)
load_lora_btn = gr.Button("📥 Load LoRA", variant="secondary", scale=1)
unload_lora_btn = gr.Button("🗑️ Unload", variant="secondary", scale=1)
with gr.Row():
use_lora_checkbox = gr.Checkbox(
label="Use LoRA",
value=False,
info="Enable LoRA adapter for inference",
scale=1,
)
lora_status = gr.Textbox(
label="LoRA Status",
value="No LoRA loaded",
interactive=False,
scale=2,
)
# Inputs
with gr.Row():
with gr.Column(scale=2):
with gr.Accordion(t("generation.required_inputs"), open=True):
# Task type
# Determine initial task_type choices based on actual model in use
# When service is pre-initialized, use config_path from init_params
actual_model = init_params.get('config_path', default_model) if service_pre_initialized else default_model
actual_model_lower = (actual_model or "").lower()
if "turbo" in actual_model_lower:
initial_task_choices = TASK_TYPES_TURBO
else:
initial_task_choices = TASK_TYPES_BASE
with gr.Row(equal_height=True):
with gr.Column(scale=2):
task_type = gr.Dropdown(
choices=initial_task_choices,
value="text2music",
label=t("generation.task_type_label"),
info=t("generation.task_type_info"),
)
with gr.Column(scale=7):
instruction_display_gen = gr.Textbox(
label=t("generation.instruction_label"),
value=DEFAULT_DIT_INSTRUCTION,
interactive=False,
lines=1,
info=t("generation.instruction_info"),
)
with gr.Column(scale=1, min_width=100):
load_file = gr.UploadButton(
t("generation.load_btn"),
file_types=[".json"],
file_count="single",
variant="secondary",
size="sm",
)
track_name = gr.Dropdown(
choices=TRACK_NAMES,
value=None,
label=t("generation.track_name_label"),
info=t("generation.track_name_info"),
visible=False
)
complete_track_classes = gr.CheckboxGroup(
choices=TRACK_NAMES,
label=t("generation.track_classes_label"),
info=t("generation.track_classes_info"),
visible=False
)
# Audio uploads
audio_uploads_accordion = gr.Accordion(t("generation.audio_uploads"), open=False)
with audio_uploads_accordion:
with gr.Row(equal_height=True):
with gr.Column(scale=2):
reference_audio = gr.Audio(
label=t("generation.reference_audio"),
type="filepath",
)
with gr.Column(scale=7):
src_audio = gr.Audio(
label=t("generation.source_audio"),
type="filepath",
)
with gr.Column(scale=1, min_width=80):
convert_src_to_codes_btn = gr.Button(
t("generation.convert_codes_btn"),
variant="secondary",
size="sm"
)
# Audio Codes for text2music - single input for transcription or cover task
with gr.Accordion(t("generation.lm_codes_hints"), open=False, visible=True) as text2music_audio_codes_group:
with gr.Row(equal_height=True):
text2music_audio_code_string = gr.Textbox(
label=t("generation.lm_codes_label"),
placeholder=t("generation.lm_codes_placeholder"),
lines=6,
info=t("generation.lm_codes_info"),
scale=9,
)
transcribe_btn = gr.Button(
t("generation.transcribe_btn"),
variant="secondary",
size="sm",
scale=1,
)
# Repainting controls
with gr.Group(visible=False) as repainting_group:
gr.HTML(f"<h5>{t('generation.repainting_controls')}</h5>")
with gr.Row():
repainting_start = gr.Number(
label=t("generation.repainting_start"),
value=0.0,
step=0.1,
)
repainting_end = gr.Number(
label=t("generation.repainting_end"),
value=-1,
minimum=-1,
step=0.1,
)
# Simple/Custom Mode Toggle
# In service mode: only Custom mode, hide the toggle
with gr.Row(visible=not service_mode):
generation_mode = gr.Radio(
choices=[
(t("generation.mode_simple"), "simple"),
(t("generation.mode_custom"), "custom"),
],
value="custom" if service_mode else "simple",
label=t("generation.mode_label"),
info=t("generation.mode_info"),
)
# Simple Mode Components - hidden in service mode
with gr.Group(visible=not service_mode) as simple_mode_group:
with gr.Row(equal_height=True):
simple_query_input = gr.Textbox(
label=t("generation.simple_query_label"),
placeholder=t("generation.simple_query_placeholder"),
lines=2,
info=t("generation.simple_query_info"),
scale=12,
)
with gr.Column(scale=1, min_width=100):
random_desc_btn = gr.Button(
"🎲",
variant="secondary",
size="sm",
scale=2
)
with gr.Row(equal_height=True):
with gr.Column(scale=1, variant="compact"):
simple_instrumental_checkbox = gr.Checkbox(
label=t("generation.instrumental_label"),
value=False,
)
with gr.Column(scale=18):
create_sample_btn = gr.Button(
t("generation.create_sample_btn"),
variant="primary",
size="lg",
)
with gr.Column(scale=1, variant="compact"):
simple_vocal_language = gr.Dropdown(
choices=VALID_LANGUAGES,
value="unknown",
allow_custom_value=True,
label=t("generation.simple_vocal_language_label"),
interactive=True,
)
# State to track if sample has been created in Simple mode
simple_sample_created = gr.State(value=False)
# Music Caption - wrapped in accordion that can be collapsed in Simple mode
# In service mode: auto-expand
with gr.Accordion(t("generation.caption_title"), open=service_mode) as caption_accordion:
with gr.Row(equal_height=True):
captions = gr.Textbox(
label=t("generation.caption_label"),
placeholder=t("generation.caption_placeholder"),
lines=3,
info=t("generation.caption_info"),
scale=12,
)
with gr.Column(scale=1, min_width=100):
sample_btn = gr.Button(
"🎲",
variant="secondary",
size="sm",
scale=2,
)
# Lyrics - wrapped in accordion that can be collapsed in Simple mode
# In service mode: auto-expand
with gr.Accordion(t("generation.lyrics_title"), open=service_mode) as lyrics_accordion:
lyrics = gr.Textbox(
label=t("generation.lyrics_label"),
placeholder=t("generation.lyrics_placeholder"),
lines=8,
info=t("generation.lyrics_info")
)
with gr.Row(variant="compact", equal_height=True):
instrumental_checkbox = gr.Checkbox(
label=t("generation.instrumental_label"),
value=False,
scale=1,
min_width=120,
container=True,
)
# 中间：语言选择 (Dropdown)
# 移除 gr.HTML hack，直接使用 label 参数，Gradio 会自动处理对齐
vocal_language = gr.Dropdown(
choices=VALID_LANGUAGES,
value="unknown",
label=t("generation.vocal_language_label"),
show_label=False,
container=True,
allow_custom_value=True,
scale=3,
)
# 右侧：格式化按钮 (Button)
# 放在同一行最右侧，操作更顺手
format_btn = gr.Button(
t("generation.format_btn"),
variant="secondary",
scale=1,
min_width=80,
)
# Optional Parameters
# In service mode: auto-expand
with gr.Accordion(t("generation.optional_params"), open=service_mode) as optional_params_accordion:
with gr.Row():
bpm = gr.Number(
label=t("generation.bpm_label"),
value=None,
step=1,
info=t("generation.bpm_info")
)
key_scale = gr.Textbox(
label=t("generation.keyscale_label"),
placeholder=t("generation.keyscale_placeholder"),
value="",
info=t("generation.keyscale_info")
)
time_signature = gr.Dropdown(
choices=["2", "3", "4", "N/A", ""],
value="",
label=t("generation.timesig_label"),
allow_custom_value=True,
info=t("generation.timesig_info")
)
audio_duration = gr.Number(
label=t("generation.duration_label"),
value=-1,
minimum=-1,
maximum=600.0,
step=0.1,
info=t("generation.duration_info")
)
batch_size_input = gr.Number(
label=t("generation.batch_size_label"),
value=2,
minimum=1,
maximum=8,
step=1,
info=t("generation.batch_size_info"),
interactive=not service_mode # Fixed in service mode
)
# Advanced Settings
# Default UI settings use turbo mode (max 20 steps, default 8, show shift with default 3)
# These will be updated after model initialization based on handler.is_turbo_model()
with gr.Accordion(t("generation.advanced_settings"), open=False):
with gr.Row():
inference_steps = gr.Slider(
minimum=1,
maximum=20,
value=8,
step=1,
label=t("generation.inference_steps_label"),
info=t("generation.inference_steps_info")
)
guidance_scale = gr.Slider(
minimum=1.0,
maximum=15.0,
value=7.0,
step=0.1,
label=t("generation.guidance_scale_label"),
info=t("generation.guidance_scale_info"),
visible=False
)
with gr.Column():
seed = gr.Textbox(
label=t("generation.seed_label"),
value="-1",
info=t("generation.seed_info")
)
random_seed_checkbox = gr.Checkbox(
label=t("generation.random_seed_label"),
value=True,
info=t("generation.random_seed_info")
)
audio_format = gr.Dropdown(
choices=["mp3", "flac"],
value="mp3",
label=t("generation.audio_format_label"),
info=t("generation.audio_format_info"),
interactive=not service_mode # Fixed in service mode
)
with gr.Row():
use_adg = gr.Checkbox(
label=t("generation.use_adg_label"),
value=False,
info=t("generation.use_adg_info"),
visible=False
)
shift = gr.Slider(
minimum=1.0,
maximum=5.0,
value=3.0,
step=0.1,
label=t("generation.shift_label"),
info=t("generation.shift_info"),
visible=True
)
infer_method = gr.Dropdown(
choices=["ode", "sde"],
value="ode",
label=t("generation.infer_method_label"),
info=t("generation.infer_method_info"),
)
with gr.Row():
custom_timesteps = gr.Textbox(
label=t("generation.custom_timesteps_label"),
placeholder="0.97,0.76,0.615,0.5,0.395,0.28,0.18,0.085,0",
value="",
info=t("generation.custom_timesteps_info"),
)
with gr.Row():
cfg_interval_start = gr.Slider(
minimum=0.0,
maximum=1.0,
value=0.0,
step=0.01,
label=t("generation.cfg_interval_start"),
visible=False
)
cfg_interval_end = gr.Slider(
minimum=0.0,
maximum=1.0,
value=1.0,
step=0.01,
label=t("generation.cfg_interval_end"),
visible=False
)
# LM (Language Model) Parameters
gr.HTML(f"<h4>{t('generation.lm_params_title')}</h4>")
with gr.Row():
lm_temperature = gr.Slider(
label=t("generation.lm_temperature_label"),
minimum=0.0,
maximum=2.0,
value=0.85,
step=0.1,
scale=1,
info=t("generation.lm_temperature_info")
)
lm_cfg_scale = gr.Slider(
label=t("generation.lm_cfg_scale_label"),
minimum=1.0,
maximum=3.0,
value=2.0,
step=0.1,
scale=1,
info=t("generation.lm_cfg_scale_info")
)
lm_top_k = gr.Slider(
label=t("generation.lm_top_k_label"),
minimum=0,
maximum=100,
value=0,
step=1,
scale=1,
info=t("generation.lm_top_k_info")
)
lm_top_p = gr.Slider(
label=t("generation.lm_top_p_label"),
minimum=0.0,
maximum=1.0,
value=0.9,
step=0.01,
scale=1,
info=t("generation.lm_top_p_info")
)
with gr.Row():
lm_negative_prompt = gr.Textbox(
label=t("generation.lm_negative_prompt_label"),
value="NO USER INPUT",
placeholder=t("generation.lm_negative_prompt_placeholder"),
info=t("generation.lm_negative_prompt_info"),
lines=2,
scale=2,
)
with gr.Row():
use_cot_metas = gr.Checkbox(
label=t("generation.cot_metas_label"),
value=True,
info=t("generation.cot_metas_info"),
scale=1,
)
use_cot_language = gr.Checkbox(
label=t("generation.cot_language_label"),
value=True,
info=t("generation.cot_language_info"),
scale=1,
)
constrained_decoding_debug = gr.Checkbox(
label=t("generation.constrained_debug_label"),
value=False,
info=t("generation.constrained_debug_info"),
scale=1,
interactive=not service_mode # Fixed in service mode
)
with gr.Row():
auto_score = gr.Checkbox(
label=t("generation.auto_score_label"),
value=False,
info=t("generation.auto_score_info"),
scale=1,
interactive=not service_mode # Fixed in service mode
)
auto_lrc = gr.Checkbox(
label=t("generation.auto_lrc_label"),
value=False,
info=t("generation.auto_lrc_info"),
scale=1,
interactive=not service_mode # Fixed in service mode
)
lm_batch_chunk_size = gr.Number(
label=t("generation.lm_batch_chunk_label"),
value=8,
minimum=1,
maximum=32,
step=1,
info=t("generation.lm_batch_chunk_info"),
scale=1,
interactive=not service_mode # Fixed in service mode
)
with gr.Row():
audio_cover_strength = gr.Slider(
minimum=0.0,
maximum=1.0,
value=1.0,
step=0.01,
label=t("generation.codes_strength_label"),
info=t("generation.codes_strength_info"),
scale=1,
)
score_scale = gr.Slider(
minimum=0.01,
maximum=1.0,
value=0.5,
step=0.01,
label=t("generation.score_sensitivity_label"),
info=t("generation.score_sensitivity_info"),
scale=1,
visible=not service_mode # Hidden in service mode
)
# Set generate_btn to interactive if service is pre-initialized
generate_btn_interactive = init_params.get('enable_generate', False) if service_pre_initialized else False
with gr.Row(equal_height=True):
with gr.Column(scale=1, variant="compact"):
think_checkbox = gr.Checkbox(
label=t("generation.think_label"),
value=True,
scale=1,
)
allow_lm_batch = gr.Checkbox(
label=t("generation.parallel_thinking_label"),
value=True,
scale=1,
)
with gr.Column(scale=18):
generate_btn = gr.Button(t("generation.generate_btn"), variant="primary", size="lg", interactive=generate_btn_interactive)
with gr.Column(scale=1, variant="compact"):
autogen_checkbox = gr.Checkbox(
label=t("generation.autogen_label"),
value=False, # Default to False for both service and local modes
scale=1,
interactive=not service_mode # Not selectable in service mode
)
use_cot_caption = gr.Checkbox(
label=t("generation.caption_rewrite_label"),
value=True,
scale=1,
)
return {
"service_config_accordion": service_config_accordion,
"language_dropdown": language_dropdown,
"checkpoint_dropdown": checkpoint_dropdown,
"refresh_btn": refresh_btn,
"config_path": config_path,
"device": device,
"init_btn": init_btn,
"init_status": init_status,
"lm_model_path": lm_model_path,
"init_llm_checkbox": init_llm_checkbox,
"backend_dropdown": backend_dropdown,
"use_flash_attention_checkbox": use_flash_attention_checkbox,
"offload_to_cpu_checkbox": offload_to_cpu_checkbox,
"offload_dit_to_cpu_checkbox": offload_dit_to_cpu_checkbox,
# LoRA components
"lora_path": lora_path,
"load_lora_btn": load_lora_btn,
"unload_lora_btn": unload_lora_btn,
"use_lora_checkbox": use_lora_checkbox,
"lora_status": lora_status,
"task_type": task_type,
"instruction_display_gen": instruction_display_gen,
"track_name": track_name,
"complete_track_classes": complete_track_classes,
"audio_uploads_accordion": audio_uploads_accordion,
"reference_audio": reference_audio,
"src_audio": src_audio,
"convert_src_to_codes_btn": convert_src_to_codes_btn,
"text2music_audio_code_string": text2music_audio_code_string,
"transcribe_btn": transcribe_btn,
"text2music_audio_codes_group": text2music_audio_codes_group,
"lm_temperature": lm_temperature,
"lm_cfg_scale": lm_cfg_scale,
"lm_top_k": lm_top_k,
"lm_top_p": lm_top_p,
"lm_negative_prompt": lm_negative_prompt,
"use_cot_metas": use_cot_metas,
"use_cot_caption": use_cot_caption,
"use_cot_language": use_cot_language,
"repainting_group": repainting_group,
"repainting_start": repainting_start,
"repainting_end": repainting_end,
"audio_cover_strength": audio_cover_strength,
# Simple/Custom Mode Components
"generation_mode": generation_mode,
"simple_mode_group": simple_mode_group,
"simple_query_input": simple_query_input,
"random_desc_btn": random_desc_btn,
"simple_instrumental_checkbox": simple_instrumental_checkbox,
"simple_vocal_language": simple_vocal_language,
"create_sample_btn": create_sample_btn,
"simple_sample_created": simple_sample_created,
"caption_accordion": caption_accordion,
"lyrics_accordion": lyrics_accordion,
"optional_params_accordion": optional_params_accordion,
# Existing components
"captions": captions,
"sample_btn": sample_btn,
"load_file": load_file,
"lyrics": lyrics,
"vocal_language": vocal_language,
"bpm": bpm,
"key_scale": key_scale,
"time_signature": time_signature,
"audio_duration": audio_duration,
"batch_size_input": batch_size_input,
"inference_steps": inference_steps,
"guidance_scale": guidance_scale,
"seed": seed,
"random_seed_checkbox": random_seed_checkbox,
"use_adg": use_adg,
"cfg_interval_start": cfg_interval_start,
"cfg_interval_end": cfg_interval_end,
"shift": shift,
"infer_method": infer_method,
"custom_timesteps": custom_timesteps,
"audio_format": audio_format,
"think_checkbox": think_checkbox,
"autogen_checkbox": autogen_checkbox,
"generate_btn": generate_btn,
"instrumental_checkbox": instrumental_checkbox,
"format_btn": format_btn,
"constrained_decoding_debug": constrained_decoding_debug,
"score_scale": score_scale,
"allow_lm_batch": allow_lm_batch,
"auto_score": auto_score,
"auto_lrc": auto_lrc,
"lm_batch_chunk_size": lm_batch_chunk_size,
}
|