ui/components.py

"""
ACE-Step: A Step Towards Music Generation Foundation Model

https://github.com/ace-step/ACE-Step

Apache 2.0 License
"""

import gradio as gr
import librosa
import os
import random
import hashlib
import numpy as np
import json
from typing import Dict, List, Tuple, Optional

# OpenAI 클라이언트 초기화
try:
    api_key = os.getenv("LLM_API") or os.getenv("OPENAI_API_KEY")
    if api_key:
        from openai import OpenAI
        client = OpenAI(api_key=api_key)
        print("✅ OpenAI API client initialized successfully")
    else:
        client = None
        print("⚠️ Warning: No OpenAI API key found. AI lyrics generation will be disabled.")
except Exception as e:
    client = None
    print(f"❌ Warning: Failed to initialize OpenAI client: {e}")

TAG_DEFAULT = "funk, pop, soul, rock, melodic, guitar, drums, bass, keyboard, percussion, 105 BPM, energetic, upbeat, groovy, vibrant, dynamic, duet, male and female vocals"
LYRIC_DEFAULT = """[verse - male]
Neon lights they flicker bright
City hums in dead of night
Rhythms pulse through concrete veins
Lost in echoes of refrains

[verse - female]
Bassline groovin' in my chest
Heartbeats match the city's zest
Electric whispers fill the air
Synthesized dreams everywhere

[chorus - duet]
Turn it up and let it flow
Feel the fire let it grow
In this rhythm we belong
Hear the night sing out our song

[verse - male]
Guitar strings they start to weep
Wake the soul from silent sleep
Every note a story told
In this night we're bold and gold

[bridge - female]
Voices blend in harmony
Lost in pure cacophony
Timeless echoes timeless cries
Soulful shouts beneath the skies

[verse - duet]
Keyboard dances on the keys
Melodies on evening breeze
Catch the tune and hold it tight
In this moment we take flight
"""

# 확장된 장르 프리셋 (기존 + 개선된 태그)
GENRE_PRESETS = {
    "Modern Pop": "pop, synth, drums, guitar, 120 bpm, upbeat, catchy, vibrant, polished vocals, radio-ready, commercial, layered vocals",
    "Rock": "rock, electric guitar, drums, bass, 130 bpm, energetic, rebellious, gritty, powerful vocals, raw vocals, power chords, driving rhythm",
    "Hip Hop": "hip hop, 808 bass, hi-hats, synth, 90 bpm, bold, urban, intense, rhythmic vocals, trap beats, punchy drums",
    "Country": "country, acoustic guitar, steel guitar, fiddle, 100 bpm, heartfelt, rustic, warm, twangy vocals, storytelling, americana",
    "EDM": "edm, synth, bass, kick drum, 128 bpm, euphoric, pulsating, energetic, instrumental, progressive build, festival anthem, electronic",
    "Reggae": "reggae, guitar, bass, drums, 80 bpm, chill, soulful, positive, smooth vocals, offbeat rhythm, island vibes",
    "Classical": "classical, orchestral, strings, piano, 60 bpm, elegant, emotive, timeless, instrumental, dynamic range, sophisticated harmony",
    "Jazz": "jazz, saxophone, piano, double bass, 110 bpm, smooth, improvisational, soulful, crooning vocals, swing feel, sophisticated",
    "Metal": "metal, electric guitar, double kick drum, bass, 160 bpm, aggressive, intense, heavy, powerful vocals, distorted, powerful",
    "R&B": "r&b, synth, bass, drums, 85 bpm, sultry, groovy, romantic, silky vocals, smooth production, neo-soul",
    "K-Pop": "k-pop, synth, bass, drums, 128 bpm, catchy, energetic, polished, mixed vocals, electronic elements, danceable",
    "Ballad": "ballad, piano, strings, acoustic guitar, 70 bpm, emotional, heartfelt, romantic, expressive vocals, orchestral arrangement"
}

# 곡 스타일 옵션
SONG_STYLES = {
    "듀엣 (남녀 혼성)": "duet, male and female vocals, harmonious, call and response",
    "솔로 (남성)": "solo, male vocals, powerful voice",
    "솔로 (여성)": "solo, female vocals, emotional voice",
    "그룹 (혼성)": "group vocals, mixed gender, layered harmonies",
    "합창": "choir, multiple voices, choral arrangement",
    "랩/힙합": "rap vocals, rhythmic flow, urban style",
    "인스트루멘탈": "instrumental, no vocals"
}

# AI 작사 시스템 프롬프트
LYRIC_SYSTEM_PROMPT = """너는 노래 가사를 작사하는 전문가 역할이다. 이용자가 입력하는 주제와 스타일에 따라 관련된 노래 가사를 작성하라. 

가사 작성 규칙:
1. 구조 태그는 반드시 "[  ]"로 구분한다
2. 사용 가능한 구조 태그: [verse], [chorus], [bridge], [intro], [outro], [pre-chorus]
3. 듀엣인 경우 [verse - male], [verse - female], [chorus - duet] 형식으로 파트를 명시한다
4. 입력 언어와 동일한 언어로 가사를 작성한다
5. 각 구조는 4-8줄 정도로 작성한다
6. 음악 장르와 분위기에 맞는 가사를 작성한다

예시 형식:
[verse - male]
첫 번째 구절 가사
두 번째 구절 가사
...

[chorus - duet]
후렴구 가사
...
"""

def generate_lyrics_with_ai(prompt: str, genre: str, song_style: str) -> str:
    """AI를 사용하여 가사 생성"""
    print(f"🎵 generate_lyrics_with_ai called with: prompt='{prompt}', genre='{genre}', style='{song_style}'")
    
    if not client:
        print("❌ OpenAI client not available, returning default lyrics")
        return LYRIC_DEFAULT
    
    if not prompt or prompt.strip() == "":
        print("⚠️ Empty prompt, returning default lyrics")
        return LYRIC_DEFAULT
    
    try:
        # 언어 감지 및 스타일 정보 추가
        style_info = ""
        if "듀엣" in song_style:
            style_info = "남녀 듀엣 형식으로 파트를 나누어 작성해주세요. [verse - male], [verse - female], [chorus - duet] 형식을 사용하세요."
        elif "솔로 (남성)" in song_style:
            style_info = "남성 솔로 가수를 위한 가사를 작성해주세요."
        elif "솔로 (여성)" in song_style:
            style_info = "여성 솔로 가수를 위한 가사를 작성해주세요."
        elif "그룹" in song_style:
            style_info = "그룹이 부르는 형식으로 파트를 나누어 작성해주세요."
        elif "인스트루멘탈" in song_style:
            return "[instrumental]\n\n[inst]\n\n[instrumental break]\n\n[inst]"
        
        user_prompt = f"""
주제: {prompt}
장르: {genre}
스타일: {style_info}

위 정보를 바탕으로 노래 가사를 작성해주세요. 입력된 언어와 동일한 언어로 작성하고, 구조 태그를 반드시 포함해주세요.
"""
        
        print(f"📝 Sending request to OpenAI...")
        
        response = client.chat.completions.create(
            model="gpt-4o-mini",
            messages=[
                {"role": "system", "content": LYRIC_SYSTEM_PROMPT},
                {"role": "user", "content": user_prompt}
            ],
            temperature=0.8,
            max_tokens=1000
        )
        
        generated_lyrics = response.choices[0].message.content
        print(f"✅ Generated lyrics successfully")
        return generated_lyrics
        
    except Exception as e:
        print(f"❌ AI 가사 생성 오류: {e}")
        return LYRIC_DEFAULT

# 품질 프리셋 시스템 추가
QUALITY_PRESETS = {
    "Draft (Fast)": {
        "infer_step": 50,
        "guidance_scale": 10.0,
        "scheduler_type": "euler",
        "omega_scale": 5.0,
        "use_erg_diffusion": False,
        "use_erg_tag": True,
        "description": "빠른 초안 생성 (1-2분)"
    },
    "Standard": {
        "infer_step": 150,
        "guidance_scale": 15.0,
        "scheduler_type": "euler",
        "omega_scale": 10.0,
        "use_erg_diffusion": True,
        "use_erg_tag": True,
        "description": "표준 품질 (3-5분)"
    },
    "High Quality": {
        "infer_step": 200,
        "guidance_scale": 18.0,
        "scheduler_type": "heun",
        "omega_scale": 15.0,
        "use_erg_diffusion": True,
        "use_erg_tag": True,
        "description": "고품질 생성 (8-12분)"
    },
    "Ultra (Best)": {
        "infer_step": 299,
        "guidance_scale": 20.0,
        "scheduler_type": "heun",
        "omega_scale": 20.0,
        "use_erg_diffusion": True,
        "use_erg_tag": True,
        "description": "최고 품질 (15-20분)"
    }
}

# 다중 시드 생성 설정
MULTI_SEED_OPTIONS = {
    "Single": 1,
    "Best of 3": 3,
    "Best of 5": 5,
    "Best of 10": 10
}

class MusicGenerationCache:
    """생성 결과 캐싱 시스템"""
    def __init__(self):
        self.cache = {}
        self.max_cache_size = 50
    
    def get_cache_key(self, params):
        # 중요한 파라미터만으로 해시 생성
        key_params = {k: v for k, v in params.items() 
                     if k in ['prompt', 'lyrics', 'infer_step', 'guidance_scale', 'audio_duration']}
        return hashlib.md5(str(sorted(key_params.items())).encode()).hexdigest()[:16]
    
    def get_cached_result(self, params):
        key = self.get_cache_key(params)
        return self.cache.get(key)
    
    def cache_result(self, params, result):
        if len(self.cache) >= self.max_cache_size:
            oldest_key = next(iter(self.cache))
            del self.cache[oldest_key]
        
        key = self.get_cache_key(params)
        self.cache[key] = result

# 전역 캐시 인스턴스
generation_cache = MusicGenerationCache()

def enhance_prompt_with_genre(base_prompt: str, genre: str, song_style: str) -> str:
    """장르와 스타일에 따른 스마트 프롬프트 확장"""
    enhanced_prompt = base_prompt
    
    if genre != "Custom" and genre:
        # 장르별 추가 개선 태그
        genre_enhancements = {
            "Modern Pop": ["polished production", "mainstream appeal", "hook-driven"],
            "Rock": ["guitar-driven", "powerful drums", "energetic performance"],
            "Hip Hop": ["rhythmic flow", "urban atmosphere", "bass-heavy"],
            "Country": ["acoustic warmth", "storytelling melody", "authentic feel"],
            "EDM": ["electronic atmosphere", "build-ups", "dance-friendly"],
            "Reggae": ["laid-back groove", "tropical vibes", "rhythmic guitar"],
            "Classical": ["orchestral depth", "musical sophistication", "timeless beauty"],
            "Jazz": ["musical complexity", "improvisational spirit", "sophisticated harmony"],
            "Metal": ["aggressive energy", "powerful sound", "intense atmosphere"],
            "R&B": ["smooth groove", "soulful expression", "rhythmic sophistication"],
            "K-Pop": ["catchy hooks", "dynamic arrangement", "polished production"],
            "Ballad": ["emotional depth", "slow tempo", "heartfelt delivery"]
        }
        
        if genre in genre_enhancements:
            additional_tags = ", ".join(genre_enhancements[genre])
            enhanced_prompt = f"{base_prompt}, {additional_tags}"
    
    # 스타일 태그 추가
    if song_style in SONG_STYLES:
        style_tags = SONG_STYLES[song_style]
        enhanced_prompt = f"{enhanced_prompt}, {style_tags}"
    
    return enhanced_prompt

def calculate_quality_score(audio_path: str) -> float:
    """간단한 품질 점수 계산 (실제 구현에서는 더 복잡한 메트릭 사용)"""
    try:
        y, sr = librosa.load(audio_path)
        
        # 기본 품질 메트릭
        rms_energy = np.sqrt(np.mean(y**2))
        spectral_centroid = np.mean(librosa.feature.spectral_centroid(y=y, sr=sr))
        zero_crossing_rate = np.mean(librosa.feature.zero_crossing_rate(y))
        
        # 정규화된 점수 (0-100)
        energy_score = min(rms_energy * 1000, 40)  # 0-40점
        spectral_score = min(spectral_centroid / 100, 40)  # 0-40점  
        clarity_score = min((1 - zero_crossing_rate) * 20, 20)  # 0-20점
        
        total_score = energy_score + spectral_score + clarity_score
        return round(total_score, 1)
    except:
        return 50.0  # 기본값

def update_quality_preset(preset_name):
    """품질 프리셋 적용"""
    if preset_name not in QUALITY_PRESETS:
        return (100, 15.0, "euler", 10.0, True, True)
    
    preset = QUALITY_PRESETS[preset_name]
    return (
        preset.get("infer_step", 100),
        preset.get("guidance_scale", 15.0),
        preset.get("scheduler_type", "euler"),
        preset.get("omega_scale", 10.0),
        preset.get("use_erg_diffusion", True),
        preset.get("use_erg_tag", True)
    )

def create_enhanced_process_func(original_func):
    """기존 함수를 향상된 기능으로 래핑"""
    
    def enhanced_func(
        audio_duration, prompt, lyrics, infer_step, guidance_scale,
        scheduler_type, cfg_type, omega_scale, manual_seeds,
        guidance_interval, guidance_interval_decay, min_guidance_scale,
        use_erg_tag, use_erg_lyric, use_erg_diffusion, oss_steps,
        guidance_scale_text, guidance_scale_lyric,
        audio2audio_enable=False, ref_audio_strength=0.5, ref_audio_input=None,
        lora_name_or_path="none", multi_seed_mode="Single", 
        enable_smart_enhancement=True, genre_preset="Custom", song_style="듀엣 (남녀 혼성)", **kwargs
    ):
        # 스마트 프롬프트 확장
        if enable_smart_enhancement:
            prompt = enhance_prompt_with_genre(prompt, genre_preset, song_style)
        
        # 캐시 확인
        cache_params = {
            'prompt': prompt, 'lyrics': lyrics, 'audio_duration': audio_duration,
            'infer_step': infer_step, 'guidance_scale': guidance_scale
        }
        
        cached_result = generation_cache.get_cached_result(cache_params)
        if cached_result:
            return cached_result
        
        # 다중 시드 생성
        num_candidates = MULTI_SEED_OPTIONS.get(multi_seed_mode, 1)
        
        if num_candidates == 1:
            # 기존 함수 호출
            result = original_func(
                audio_duration, prompt, lyrics, infer_step, guidance_scale,
                scheduler_type, cfg_type, omega_scale, manual_seeds,
                guidance_interval, guidance_interval_decay, min_guidance_scale,
                use_erg_tag, use_erg_lyric, use_erg_diffusion, oss_steps,
                guidance_scale_text, guidance_scale_lyric, audio2audio_enable,
                ref_audio_strength, ref_audio_input, lora_name_or_path, **kwargs
            )
        else:
            # 다중 시드 생성 및 최적 선택
            candidates = []
            
            for i in range(num_candidates):
                seed = random.randint(1, 10000)
                
                try:
                    result = original_func(
                        audio_duration, prompt, lyrics, infer_step, guidance_scale,
                        scheduler_type, cfg_type, omega_scale, str(seed),
                        guidance_interval, guidance_interval_decay, min_guidance_scale,
                        use_erg_tag, use_erg_lyric, use_erg_diffusion, oss_steps,
                        guidance_scale_text, guidance_scale_lyric, audio2audio_enable,
                        ref_audio_strength, ref_audio_input, lora_name_or_path, **kwargs
                    )
                    
                    if result and len(result) > 0:
                        audio_path = result[0]  # 첫 번째 결과가 오디오 파일 경로
                        if audio_path and os.path.exists(audio_path):
                            quality_score = calculate_quality_score(audio_path)
                            candidates.append({
                                "result": result,
                                "quality_score": quality_score,
                                "seed": seed
                            })
                except Exception as e:
                    print(f"Generation {i+1} failed: {e}")
                    continue
            
            if candidates:
                # 최고 품질 선택
                best_candidate = max(candidates, key=lambda x: x["quality_score"])
                result = best_candidate["result"]
                
                # 품질 정보 추가
                if len(result) > 1 and isinstance(result[1], dict):
                    result[1]["quality_score"] = best_candidate["quality_score"]
                    result[1]["selected_seed"] = best_candidate["seed"]
                    result[1]["candidates_count"] = len(candidates)
            else:
                # 모든 생성 실패시 기본 생성
                result = original_func(
                    audio_duration, prompt, lyrics, infer_step, guidance_scale,
                    scheduler_type, cfg_type, omega_scale, manual_seeds,
                    guidance_interval, guidance_interval_decay, min_guidance_scale,
                    use_erg_tag, use_erg_lyric, use_erg_diffusion, oss_steps,
                    guidance_scale_text, guidance_scale_lyric, audio2audio_enable,
                    ref_audio_strength, ref_audio_input, lora_name_or_path, **kwargs
                )
        
        # 결과 캐시
        generation_cache.cache_result(cache_params, result)
        return result
    
    return enhanced_func

def create_output_ui(task_name="Text2Music"):
    # For many consumer-grade GPU devices, only one batch can be run
    output_audio1 = gr.Audio(type="filepath", label=f"{task_name} Generated Audio 1")
    
    with gr.Accordion(f"{task_name} Parameters & Quality Info", open=False):
        input_params_json = gr.JSON(label=f"{task_name} Parameters")
        
        # 품질 정보 표시 추가
        with gr.Row():
            quality_score = gr.Number(label="Quality Score (0-100)", value=0, interactive=False)
            generation_info = gr.Textbox(
                label="Generation Info", 
                value="",
                interactive=False,
                max_lines=2
            )
    
    outputs = [output_audio1]
    return outputs, input_params_json

def dump_func(*args):
    print(args)
    return []

def create_text2music_ui(
    gr,
    text2music_process_func,
    sample_data_func=None,
    load_data_func=None,
):
    # 향상된 프로세스 함수 생성
    enhanced_process_func = create_enhanced_process_func(text2music_process_func)

    with gr.Row():
        with gr.Column():
            # 품질 및 성능 설정 섹션 추가
            with gr.Group():
                gr.Markdown("### ⚡ 품질 & 성능 설정")
                with gr.Row():
                    quality_preset = gr.Dropdown(
                        choices=list(QUALITY_PRESETS.keys()),
                        value="Standard",
                        label="품질 프리셋",
                        scale=2,
                        interactive=True
                    )
                    multi_seed_mode = gr.Dropdown(
                        choices=list(MULTI_SEED_OPTIONS.keys()),
                        value="Single",
                        label="다중 생성 모드",
                        scale=2,
                        info="여러 번 생성하여 최고 품질 선택",
                        interactive=True
                    )
                
                preset_description = gr.Textbox(
                    value=QUALITY_PRESETS["Standard"]["description"],
                    label="설명",
                    interactive=False,
                    max_lines=1
                )

            with gr.Row(equal_height=True):
                # add markdown, tags and lyrics examples are from ai music generation community
                audio_duration = gr.Slider(
                    -1,
                    240.0,
                    step=0.00001,
                    value=-1,
                    label="Audio Duration",
                    interactive=True,
                    info="-1 means random duration (30 ~ 240).",
                    scale=7,
                )
                random_bnt = gr.Button("🎲 Random", variant="secondary", scale=1)
                preview_bnt = gr.Button("🎵 Preview", variant="secondary", scale=2)

            # audio2audio
            with gr.Row(equal_height=True):
                audio2audio_enable = gr.Checkbox(
                    label="Enable Audio2Audio", 
                    value=False, 
                    info="Check to enable Audio-to-Audio generation using a reference audio.", 
                    elem_id="audio2audio_checkbox"
                )
                lora_name_or_path = gr.Dropdown(
                    label="Lora Name or Path",
                    choices=["ACE-Step/ACE-Step-v1-chinese-rap-LoRA", "none"],
                    value="none",
                    allow_custom_value=True,
                )

            ref_audio_input = gr.Audio(
                type="filepath", 
                label="Reference Audio (for Audio2Audio)", 
                visible=False, 
                elem_id="ref_audio_input", 
                show_download_button=True
            )
            ref_audio_strength = gr.Slider(
                label="Refer audio strength",
                minimum=0.0,
                maximum=1.0,
                step=0.01,
                value=0.5,
                elem_id="ref_audio_strength",
                visible=False,
                interactive=True,
            )

            def toggle_ref_audio_visibility(is_checked):
                return (
                    gr.update(visible=is_checked),
                    gr.update(visible=is_checked),
                )

            audio2audio_enable.change(
                fn=toggle_ref_audio_visibility,
                inputs=[audio2audio_enable],
                outputs=[ref_audio_input, ref_audio_strength],
            )

            with gr.Column(scale=2):
                with gr.Group():
                    gr.Markdown("""### 🎼 스마트 프롬프트 시스템
                    <center>장르와 스타일을 선택하면 자동으로 최적화된 태그가 추가됩니다.</center>""")
                    
                    with gr.Row():
                        genre_preset = gr.Dropdown(
                            choices=["Custom"] + list(GENRE_PRESETS.keys()),
                            value="Custom",
                            label="장르 프리셋",
                            scale=1,
                            interactive=True
                        )
                        song_style = gr.Dropdown(
                            choices=list(SONG_STYLES.keys()),
                            value="듀엣 (남녀 혼성)",
                            label="곡 스타일",
                            scale=1,
                            interactive=True
                        )
                        enable_smart_enhancement = gr.Checkbox(
                            label="스마트 향상",
                            value=True,
                            info="자동 태그 최적화",
                            scale=1
                        )
                    
                    prompt = gr.Textbox(
                        lines=2,
                        label="Tags",
                        max_lines=4,
                        value=TAG_DEFAULT,
                        placeholder="콤마로 구분된 태그들...",
                        interactive=True
                    )

            with gr.Group():
                gr.Markdown("""### 📝 AI 작사 시스템
                <center>주제를 입력하고 'AI 작사' 버튼을 클릭하면 자동으로 가사가 생성됩니다.</center>""")
                
                with gr.Row():
                    lyric_prompt = gr.Textbox(
                        label="작사 주제",
                        placeholder="예: 첫사랑의 설렘, 이별의 아픔, 희망찬 내일...",
                        scale=3,
                        interactive=True
                    )
                    generate_lyrics_btn = gr.Button("🤖 AI 작사", variant="secondary", scale=1)
                
                lyrics = gr.Textbox(
                    lines=9,
                    label="Lyrics",
                    max_lines=13,
                    value=LYRIC_DEFAULT,
                    placeholder="가사를 입력하세요. [verse], [chorus] 등의 구조 태그 사용을 권장합니다.",
                    interactive=True
                )

            with gr.Accordion("Basic Settings", open=False):
                infer_step = gr.Slider(
                    minimum=1,
                    maximum=300,
                    step=1,
                    value=150,
                    label="Infer Steps",
                    interactive=True,
                )
                guidance_scale = gr.Slider(
                    minimum=0.0,
                    maximum=30.0,
                    step=0.1,
                    value=15.0,
                    label="Guidance Scale",
                    interactive=True,
                    info="When guidance_scale_lyric > 1 and guidance_scale_text > 1, the guidance scale will not be applied.",
                )
                guidance_scale_text = gr.Slider(
                    minimum=0.0,
                    maximum=10.0,
                    step=0.1,
                    value=0.0,
                    label="Guidance Scale Text",
                    interactive=True,
                    info="Guidance scale for text condition. It can only apply to cfg. set guidance_scale_text=5.0, guidance_scale_lyric=1.5 for start",
                )
                guidance_scale_lyric = gr.Slider(
                    minimum=0.0,
                    maximum=10.0,
                    step=0.1,
                    value=0.0,
                    label="Guidance Scale Lyric",
                    interactive=True,
                )

                manual_seeds = gr.Textbox(
                    label="manual seeds (default None)",
                    placeholder="1,2,3,4",
                    value=None,
                    info="Seed for the generation",
                )

            with gr.Accordion("Advanced Settings", open=False):
                scheduler_type = gr.Radio(
                    ["euler", "heun"],
                    value="euler",
                    label="Scheduler Type",
                    elem_id="scheduler_type",
                    info="Scheduler type for the generation. euler is recommended. heun will take more time.",
                )
                cfg_type = gr.Radio(
                    ["cfg", "apg", "cfg_star"],
                    value="apg",
                    label="CFG Type",
                    elem_id="cfg_type",
                    info="CFG type for the generation. apg is recommended. cfg and cfg_star are almost the same.",
                )
                use_erg_tag = gr.Checkbox(
                    label="use ERG for tag",
                    value=True,
                    info="Use Entropy Rectifying Guidance for tag. It will multiple a temperature to the attention to make a weaker tag condition and make better diversity.",
                )
                use_erg_lyric = gr.Checkbox(
                    label="use ERG for lyric",
                    value=False,
                    info="The same but apply to lyric encoder's attention.",
                )
                use_erg_diffusion = gr.Checkbox(
                    label="use ERG for diffusion",
                    value=True,
                    info="The same but apply to diffusion model's attention.",
                )

                omega_scale = gr.Slider(
                    minimum=-100.0,
                    maximum=100.0,
                    step=0.1,
                    value=10.0,
                    label="Granularity Scale",
                    interactive=True,
                    info="Granularity scale for the generation. Higher values can reduce artifacts",
                )

                guidance_interval = gr.Slider(
                    minimum=0.0,
                    maximum=1.0,
                    step=0.01,
                    value=0.5,
                    label="Guidance Interval",
                    interactive=True,
                    info="Guidance interval for the generation. 0.5 means only apply guidance in the middle steps (0.25 * infer_steps to 0.75 * infer_steps)",
                )
                guidance_interval_decay = gr.Slider(
                    minimum=0.0,
                    maximum=1.0,
                    step=0.01,
                    value=0.0,
                    label="Guidance Interval Decay",
                    interactive=True,
                    info="Guidance interval decay for the generation. Guidance scale will decay from guidance_scale to min_guidance_scale in the interval. 0.0 means no decay.",
                )
                min_guidance_scale = gr.Slider(
                    minimum=0.0,
                    maximum=200.0,
                    step=0.1,
                    value=3.0,
                    label="Min Guidance Scale",
                    interactive=True,
                    info="Min guidance scale for guidance interval decay's end scale",
                )
                oss_steps = gr.Textbox(
                    label="OSS Steps",
                    placeholder="16, 29, 52, 96, 129, 158, 172, 183, 189, 200",
                    value=None,
                    info="Optimal Steps for the generation. But not test well",
                )

            text2music_bnt = gr.Button("🎵 Generate Music", variant="primary", size="lg")

        with gr.Column():
            outputs, input_params_json = create_output_ui()
            
            with gr.Tab("retake"):
                retake_variance = gr.Slider(
                    minimum=0.0, maximum=1.0, step=0.01, value=0.2, label="variance"
                )
                retake_seeds = gr.Textbox(
                    label="retake seeds (default None)", placeholder="", value=None
                )
                retake_bnt = gr.Button("Retake", variant="primary")
                retake_outputs, retake_input_params_json = create_output_ui("Retake")

                def retake_process_func(json_data, retake_variance, retake_seeds):
                    return enhanced_process_func(
                        json_data.get("audio_duration", 30),
                        json_data.get("prompt", ""),
                        json_data.get("lyrics", ""),
                        json_data.get("infer_step", 100),
                        json_data.get("guidance_scale", 15.0),
                        json_data.get("scheduler_type", "euler"),
                        json_data.get("cfg_type", "apg"),
                        json_data.get("omega_scale", 10.0),
                        retake_seeds,
                        json_data.get("guidance_interval", 0.5),
                        json_data.get("guidance_interval_decay", 0.0),
                        json_data.get("min_guidance_scale", 3.0),
                        json_data.get("use_erg_tag", True),
                        json_data.get("use_erg_lyric", False),
                        json_data.get("use_erg_diffusion", True),
                        json_data.get("oss_steps", None),
                        json_data.get("guidance_scale_text", 0.0),
                        json_data.get("guidance_scale_lyric", 0.0),
                        audio2audio_enable=json_data.get("audio2audio_enable", False),
                        ref_audio_strength=json_data.get("ref_audio_strength", 0.5),
                        ref_audio_input=json_data.get("ref_audio_input", None),
                        lora_name_or_path=json_data.get("lora_name_or_path", "none"),
                        multi_seed_mode="Best of 3",  # retake는 자동으로 다중 생성
                        retake_variance=retake_variance,
                        task="retake"
                    )

                retake_bnt.click(
                    fn=retake_process_func,
                    inputs=[
                        input_params_json,
                        retake_variance,
                        retake_seeds,
                    ],
                    outputs=retake_outputs + [retake_input_params_json],
                )

            with gr.Tab("repainting"):
                retake_variance = gr.Slider(
                    minimum=0.0, maximum=1.0, step=0.01, value=0.2, label="variance"
                )
                retake_seeds = gr.Textbox(
                    label="repaint seeds (default None)", placeholder="", value=None
                )
                repaint_start = gr.Slider(
                    minimum=0.0,
                    maximum=240.0,
                    step=0.01,
                    value=0.0,
                    label="Repaint Start Time",
                    interactive=True,
                )
                repaint_end = gr.Slider(
                    minimum=0.0,
                    maximum=240.0,
                    step=0.01,
                    value=30.0,
                    label="Repaint End Time",
                    interactive=True,
                )
                repaint_source = gr.Radio(
                    ["text2music", "last_repaint", "upload"],
                    value="text2music",
                    label="Repaint Source",
                    elem_id="repaint_source",
                )

                repaint_source_audio_upload = gr.Audio(
                    label="Upload Audio",
                    type="filepath",
                    visible=False,
                    elem_id="repaint_source_audio_upload",
                    show_download_button=True,
                )
                repaint_source.change(
                    fn=lambda x: gr.update(
                        visible=x == "upload", elem_id="repaint_source_audio_upload"
                    ),
                    inputs=[repaint_source],
                    outputs=[repaint_source_audio_upload],
                )

                repaint_bnt = gr.Button("Repaint", variant="primary")
                repaint_outputs, repaint_input_params_json = create_output_ui("Repaint")

                def repaint_process_func(
                    text2music_json_data,
                    repaint_json_data,
                    retake_variance,
                    retake_seeds,
                    repaint_start,
                    repaint_end,
                    repaint_source,
                    repaint_source_audio_upload,
                    prompt,
                    lyrics,
                    infer_step,
                    guidance_scale,
                    scheduler_type,
                    cfg_type,
                    omega_scale,
                    manual_seeds,
                    guidance_interval,
                    guidance_interval_decay,
                    min_guidance_scale,
                    use_erg_tag,
                    use_erg_lyric,
                    use_erg_diffusion,
                    oss_steps,
                    guidance_scale_text,
                    guidance_scale_lyric,
                ):
                    if repaint_source == "upload":
                        src_audio_path = repaint_source_audio_upload
                        audio_duration = librosa.get_duration(filename=src_audio_path)
                        json_data = {"audio_duration": audio_duration}
                    elif repaint_source == "text2music":
                        json_data = text2music_json_data
                        src_audio_path = json_data["audio_path"]
                    elif repaint_source == "last_repaint":
                        json_data = repaint_json_data
                        src_audio_path = json_data["audio_path"]

                    return enhanced_process_func(
                        json_data["audio_duration"],
                        prompt,
                        lyrics,
                        infer_step,
                        guidance_scale,
                        scheduler_type,
                        cfg_type,
                        omega_scale,
                        manual_seeds,
                        guidance_interval,
                        guidance_interval_decay,
                        min_guidance_scale,
                        use_erg_tag,
                        use_erg_lyric,
                        use_erg_diffusion,
                        oss_steps,
                        guidance_scale_text,
                        guidance_scale_lyric,
                        retake_seeds=retake_seeds,
                        retake_variance=retake_variance,
                        task="repaint",
                        repaint_start=repaint_start,
                        repaint_end=repaint_end,
                        src_audio_path=src_audio_path,
                        lora_name_or_path="none"
                    )

                repaint_bnt.click(
                    fn=repaint_process_func,
                    inputs=[
                        input_params_json,
                        repaint_input_params_json,
                        retake_variance,
                        retake_seeds,
                        repaint_start,
                        repaint_end,
                        repaint_source,
                        repaint_source_audio_upload,
                        prompt,
                        lyrics,
                        infer_step,
                        guidance_scale,
                        scheduler_type,
                        cfg_type,
                        omega_scale,
                        manual_seeds,
                        guidance_interval,
                        guidance_interval_decay,
                        min_guidance_scale,
                        use_erg_tag,
                        use_erg_lyric,
                        use_erg_diffusion,
                        oss_steps,
                        guidance_scale_text,
                        guidance_scale_lyric,
                    ],
                    outputs=repaint_outputs + [repaint_input_params_json],
                )

            with gr.Tab("edit"):
                edit_prompt = gr.Textbox(lines=2, label="Edit Tags", max_lines=4)
                edit_lyrics = gr.Textbox(lines=9, label="Edit Lyrics", max_lines=13)
                retake_seeds = gr.Textbox(
                    label="edit seeds (default None)", placeholder="", value=None
                )

                edit_type = gr.Radio(
                    ["only_lyrics", "remix"],
                    value="only_lyrics",
                    label="Edit Type",
                    elem_id="edit_type",
                    info="`only_lyrics` will keep the whole song the same except lyrics difference. Make your diffrence smaller, e.g. one lyrc line change.\nremix can change the song melody and genre",
                )
                edit_n_min = gr.Slider(
                    minimum=0.0,
                    maximum=1.0,
                    step=0.01,
                    value=0.6,
                    label="edit_n_min",
                    interactive=True,
                )
                edit_n_max = gr.Slider(
                    minimum=0.0,
                    maximum=1.0,
                    step=0.01,
                    value=1.0,
                    label="edit_n_max",
                    interactive=True,
                )

                def edit_type_change_func(edit_type):
                    if edit_type == "only_lyrics":
                        n_min = 0.6
                        n_max = 1.0
                    elif edit_type == "remix":
                        n_min = 0.2
                        n_max = 0.4
                    return n_min, n_max

                edit_type.change(
                    edit_type_change_func,
                    inputs=[edit_type],
                    outputs=[edit_n_min, edit_n_max],
                )

                edit_source = gr.Radio(
                    ["text2music", "last_edit", "upload"],
                    value="text2music",
                    label="Edit Source",
                    elem_id="edit_source",
                )
                edit_source_audio_upload = gr.Audio(
                    label="Upload Audio",
                    type="filepath",
                    visible=False,
                    elem_id="edit_source_audio_upload",
                    show_download_button=True,
                )
                edit_source.change(
                    fn=lambda x: gr.update(
                        visible=x == "upload", elem_id="edit_source_audio_upload"
                    ),
                    inputs=[edit_source],
                    outputs=[edit_source_audio_upload],
                )

                edit_bnt = gr.Button("Edit", variant="primary")
                edit_outputs, edit_input_params_json = create_output_ui("Edit")

                def edit_process_func(
                    text2music_json_data,
                    edit_input_params_json,
                    edit_source,
                    edit_source_audio_upload,
                    prompt,
                    lyrics,
                    edit_prompt,
                    edit_lyrics,
                    edit_n_min,
                    edit_n_max,
                    infer_step,
                    guidance_scale,
                    scheduler_type,
                    cfg_type,
                    omega_scale,
                    manual_seeds,
                    guidance_interval,
                    guidance_interval_decay,
                    min_guidance_scale,
                    use_erg_tag,
                    use_erg_lyric,
                    use_erg_diffusion,
                    oss_steps,
                    guidance_scale_text,
                    guidance_scale_lyric,
                    retake_seeds,
                ):
                    if edit_source == "upload":
                        src_audio_path = edit_source_audio_upload
                        audio_duration = librosa.get_duration(filename=src_audio_path)
                        json_data = {"audio_duration": audio_duration}
                    elif edit_source == "text2music":
                        json_data = text2music_json_data
                        src_audio_path = json_data["audio_path"]
                    elif edit_source == "last_edit":
                        json_data = edit_input_params_json
                        src_audio_path = json_data["audio_path"]

                    if not edit_prompt:
                        edit_prompt = prompt
                    if not edit_lyrics:
                        edit_lyrics = lyrics

                    return enhanced_process_func(
                        json_data["audio_duration"],
                        prompt,
                        lyrics,
                        infer_step,
                        guidance_scale,
                        scheduler_type,
                        cfg_type,
                        omega_scale,
                        manual_seeds,
                        guidance_interval,
                        guidance_interval_decay,
                        min_guidance_scale,
                        use_erg_tag,
                        use_erg_lyric,
                        use_erg_diffusion,
                        oss_steps,
                        guidance_scale_text,
                        guidance_scale_lyric,
                        task="edit",
                        src_audio_path=src_audio_path,
                        edit_target_prompt=edit_prompt,
                        edit_target_lyrics=edit_lyrics,
                        edit_n_min=edit_n_min,
                        edit_n_max=edit_n_max,
                        retake_seeds=retake_seeds,
                        lora_name_or_path="none"
                    )

                edit_bnt.click(
                    fn=edit_process_func,
                    inputs=[
                        input_params_json,
                        edit_input_params_json,
                        edit_source,
                        edit_source_audio_upload,
                        prompt,
                        lyrics,
                        edit_prompt,
                        edit_lyrics,
                        edit_n_min,
                        edit_n_max,
                        infer_step,
                        guidance_scale,
                        scheduler_type,
                        cfg_type,
                        omega_scale,
                        manual_seeds,
                        guidance_interval,
                        guidance_interval_decay,
                        min_guidance_scale,
                        use_erg_tag,
                        use_erg_lyric,
                        use_erg_diffusion,
                        oss_steps,
                        guidance_scale_text,
                        guidance_scale_lyric,
                        retake_seeds,
                    ],
                    outputs=edit_outputs + [edit_input_params_json],
                )

            with gr.Tab("extend"):
                extend_seeds = gr.Textbox(
                    label="extend seeds (default None)", placeholder="", value=None
                )
                left_extend_length = gr.Slider(
                    minimum=0.0,
                    maximum=240.0,
                    step=0.01,
                    value=0.0,
                    label="Left Extend Length",
                    interactive=True,
                )
                right_extend_length = gr.Slider(
                    minimum=0.0,
                    maximum=240.0,
                    step=0.01,
                    value=30.0,
                    label="Right Extend Length",
                    interactive=True,
                )
                extend_source = gr.Radio(
                    ["text2music", "last_extend", "upload"],
                    value="text2music",
                    label="Extend Source",
                    elem_id="extend_source",
                )

                extend_source_audio_upload = gr.Audio(
                    label="Upload Audio",
                    type="filepath",
                    visible=False,
                    elem_id="extend_source_audio_upload",
                    show_download_button=True,
                )
                extend_source.change(
                    fn=lambda x: gr.update(
                        visible=x == "upload", elem_id="extend_source_audio_upload"
                    ),
                    inputs=[extend_source],
                    outputs=[extend_source_audio_upload],
                )

                extend_bnt = gr.Button("Extend", variant="primary")
                extend_outputs, extend_input_params_json = create_output_ui("Extend")

                def extend_process_func(
                    text2music_json_data,
                    extend_input_params_json,
                    extend_seeds,
                    left_extend_length,
                    right_extend_length,
                    extend_source,
                    extend_source_audio_upload,
                    prompt,
                    lyrics,
                    infer_step,
                    guidance_scale,
                    scheduler_type,
                    cfg_type,
                    omega_scale,
                    manual_seeds,
                    guidance_interval,
                    guidance_interval_decay,
                    min_guidance_scale,
                    use_erg_tag,
                    use_erg_lyric,
                    use_erg_diffusion,
                    oss_steps,
                    guidance_scale_text,
                    guidance_scale_lyric,
                ):
                    if extend_source == "upload":
                        src_audio_path = extend_source_audio_upload
                        # get audio duration
                        audio_duration = librosa.get_duration(filename=src_audio_path)
                        json_data = {"audio_duration": audio_duration}
                    elif extend_source == "text2music":
                        json_data = text2music_json_data
                        src_audio_path = json_data["audio_path"]
                    elif extend_source == "last_extend":
                        json_data = extend_input_params_json
                        src_audio_path = json_data["audio_path"]

                    repaint_start = -left_extend_length
                    repaint_end = json_data["audio_duration"] + right_extend_length
                    return enhanced_process_func(
                        json_data["audio_duration"],
                        prompt,
                        lyrics,
                        infer_step,
                        guidance_scale,
                        scheduler_type,
                        cfg_type,
                        omega_scale,
                        manual_seeds,
                        guidance_interval,
                        guidance_interval_decay,
                        min_guidance_scale,
                        use_erg_tag,
                        use_erg_lyric,
                        use_erg_diffusion,
                        oss_steps,
                        guidance_scale_text,
                        guidance_scale_lyric,
                        retake_seeds=extend_seeds,
                        retake_variance=1.0,
                        task="extend",
                        repaint_start=repaint_start,
                        repaint_end=repaint_end,
                        src_audio_path=src_audio_path,
                        lora_name_or_path="none"
                    )

                extend_bnt.click(
                    fn=extend_process_func,
                    inputs=[
                        input_params_json,
                        extend_input_params_json,
                        extend_seeds,
                        left_extend_length,
                        right_extend_length,
                        extend_source,
                        extend_source_audio_upload,
                        prompt,
                        lyrics,
                        infer_step,
                        guidance_scale,
                        scheduler_type,
                        cfg_type,
                        omega_scale,
                        manual_seeds,
                        guidance_interval,
                        guidance_interval_decay,
                        min_guidance_scale,
                        use_erg_tag,
                        use_erg_lyric,
                        use_erg_diffusion,
                        oss_steps,
                        guidance_scale_text,
                        guidance_scale_lyric,
                    ],
                    outputs=extend_outputs + [extend_input_params_json],
                )

    # ===== 간단하고 직접적인 이벤트 핸들러 =====
    print("🔗 이벤트 핸들러 연결 중...")
    
    # 1. 장르 프리셋 변경
    def on_genre_change(genre, style):
        print(f"🎵 Genre changed to: {genre}")
        if genre == "Custom":
            return TAG_DEFAULT
        tags = GENRE_PRESETS.get(genre, TAG_DEFAULT)
        if style and style in SONG_STYLES:
            tags = f"{tags}, {SONG_STYLES[style]}"
        return tags
    
    genre_preset.change(
        fn=on_genre_change,
        inputs=[genre_preset, song_style],
        outputs=prompt
    )
    
    # 2. 스타일 변경
    def on_style_change(genre, style):
        print(f"🎤 Style changed to: {style}")
        if genre == "Custom":
            base_tags = TAG_DEFAULT
        else:
            base_tags = GENRE_PRESETS.get(genre, TAG_DEFAULT)
        
        if style and style in SONG_STYLES:
            return f"{base_tags}, {SONG_STYLES[style]}"
        return base_tags
    
    song_style.change(
        fn=on_style_change,
        inputs=[genre_preset, song_style],
        outputs=prompt
    )
    
    # 3. 품질 프리셋
    def on_quality_change(preset):
        print(f"⚡ Quality preset changed to: {preset}")
        if preset in QUALITY_PRESETS:
            p = QUALITY_PRESETS[preset]
            return (
                p["description"],
                p["infer_step"],
                p["guidance_scale"],
                p["scheduler_type"],
                p["omega_scale"],
                p["use_erg_diffusion"],
                p["use_erg_tag"]
            )
        return ("", 150, 15.0, "euler", 10.0, True, True)
    
    quality_preset.change(
        fn=on_quality_change,
        inputs=quality_preset,
        outputs=[preset_description, infer_step, guidance_scale, scheduler_type, omega_scale, use_erg_diffusion, use_erg_tag]
    )
    
    # 4. AI 작사
    def generate_lyrics_click(prompt_text, genre, style):
        print(f"🤖 AI 작사 버튼 클릭! Prompt: '{prompt_text}'")
        if not prompt_text:
            return "작사 주제를 입력해주세요!"
        return generate_lyrics_with_ai(prompt_text, genre, style)
    
    generate_lyrics_btn.click(
        fn=generate_lyrics_click,
        inputs=[lyric_prompt, genre_preset, song_style],
        outputs=lyrics
    )
    
    # 5. Random 버튼
    def random_click(genre, style):
        print("🎲 Random 버튼 클릭!")
        
        if genre == "Custom":
            genre = random.choice(list(GENRE_PRESETS.keys()))
        
        themes = ["도시의 밤", "첫사랑", "여름 해변", "가을 정취", "희망", "자유", "별빛", "청춘"]
        theme = random.choice(themes)
        duration = random.choice([30, 60, 90, 120])
        
        # 태그
        tags = GENRE_PRESETS.get(genre, TAG_DEFAULT)
        if style in SONG_STYLES:
            tags = f"{tags}, {SONG_STYLES[style]}"
        
        # 가사 생성
        new_lyrics = generate_lyrics_with_ai(theme, genre, style)
        
        return [
            duration, tags, new_lyrics, 150, 15.0, "euler", "apg", 10.0,
            str(random.randint(1, 10000)), 0.5, 0.0, 3.0, True, False, True,
            None, 0.0, 0.0, False, 0.5, None
        ]
    
    random_bnt.click(
        fn=random_click,
        inputs=[genre_preset, song_style],
        outputs=[
            audio_duration, prompt, lyrics, infer_step, guidance_scale,
            scheduler_type, cfg_type, omega_scale, manual_seeds,
            guidance_interval, guidance_interval_decay, min_guidance_scale,
            use_erg_tag, use_erg_lyric, use_erg_diffusion, oss_steps,
            guidance_scale_text, guidance_scale_lyric, audio2audio_enable,
            ref_audio_strength, ref_audio_input
        ]
    )
    
    # 6. Preview 버튼
    preview_bnt.click(
        fn=lambda p, l, g, s: print(f"🎵 Preview clicked! Genre: {g}, Style: {s}"),
        inputs=[prompt, lyrics, genre_preset, song_style],
        outputs=None
    )
    
    # 7. 메인 생성 버튼
    text2music_bnt.click(
        fn=enhanced_process_func,
        inputs=[
            audio_duration, prompt, lyrics, infer_step, guidance_scale,
            scheduler_type, cfg_type, omega_scale, manual_seeds,
            guidance_interval, guidance_interval_decay, min_guidance_scale,
            use_erg_tag, use_erg_lyric, use_erg_diffusion, oss_steps,
            guidance_scale_text, guidance_scale_lyric, audio2audio_enable,
            ref_audio_strength, ref_audio_input, lora_name_or_path,
            multi_seed_mode, enable_smart_enhancement, genre_preset, song_style
        ],
        outputs=outputs + [input_params_json]
    )
    
    print("✅ 모든 이벤트 핸들러 연결 완료!")


def create_main_demo_ui(
    text2music_process_func=dump_func,
    sample_data_func=dump_func,
    load_data_func=dump_func,
):
    with gr.Blocks(
        title="ACE-Step Model 1.0 DEMO - Enhanced",
        theme=gr.themes.Soft(),
        css="""
        /* 그라디언트 배경 */
        .gradio-container {
            max-width: 1200px !important;
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
            min-height: 100vh;
        }
        
        /* 메인 컨테이너 스타일 */
        .main-container {
            background: rgba(255, 255, 255, 0.95);
            border-radius: 20px;
            padding: 30px;
            margin: 20px auto;
            box-shadow: 0 20px 40px rgba(0, 0, 0, 0.1);
        }
        
        /* 헤더 스타일 */
        .header-title {
            background: linear-gradient(45deg, #667eea, #764ba2);
            -webkit-background-clip: text;
            -webkit-text-fill-color: transparent;
            font-size: 3em;
            font-weight: bold;
            text-align: center;
            margin-bottom: 10px;
        }
        
        /* 버튼 스타일 */
        .gr-button-primary {
            background: linear-gradient(45deg, #667eea, #764ba2) !important;
            border: none !important;
            color: white !important;
            font-weight: bold !important;
            transition: all 0.3s ease !important;
        }
        
        .gr-button-primary:hover {
            transform: translateY(-2px);
            box-shadow: 0 10px 20px rgba(102, 126, 234, 0.3);
        }
        
        .gr-button-secondary {
            background: linear-gradient(45deg, #f093fb, #f5576c) !important;
            border: none !important;
            color: white !important;
            transition: all 0.3s ease !important;
        }
        
        /* 그룹 스타일 */
        .gr-group {
            background: rgba(255, 255, 255, 0.8) !important;
            border: 1px solid rgba(102, 126, 234, 0.2) !important;
            border-radius: 15px !important;
            padding: 20px !important;
            margin: 10px 0 !important;
            backdrop-filter: blur(10px) !important;
        }
        
        /* 탭 스타일 */
        .gr-tab {
            background: rgba(255, 255, 255, 0.9) !important;
            border-radius: 10px !important;
            padding: 15px !important;
        }
        
        /* 입력 필드 스타일 */
        .gr-textbox, .gr-dropdown, .gr-slider {
            border: 2px solid rgba(102, 126, 234, 0.3) !important;
            border-radius: 10px !important;
            transition: all 0.3s ease !important;
        }
        
        .gr-textbox:focus, .gr-dropdown:focus {
            border-color: #667eea !important;
            box-shadow: 0 0 10px rgba(102, 126, 234, 0.2) !important;
        }
        
        /* 품질 정보 스타일 */
        .quality-info {
            background: linear-gradient(135deg, #f093fb20, #f5576c20);
            padding: 15px;
            border-radius: 10px;
            margin: 10px 0;
            border: 1px solid rgba(240, 147, 251, 0.3);
        }
        
        /* 애니메이션 */
        @keyframes fadeIn {
            from {
                opacity: 0;
                transform: translateY(20px);
            }
            to {
                opacity: 1;
                transform: translateY(0);
            }
        }
        
        .gr-row, .gr-column {
            animation: fadeIn 0.5s ease-out;
        }
        
        /* 스크롤바 스타일 */
        ::-webkit-scrollbar {
            width: 10px;
        }
        
        ::-webkit-scrollbar-track {
            background: rgba(255, 255, 255, 0.1);
            border-radius: 10px;
        }
        
        ::-webkit-scrollbar-thumb {
            background: linear-gradient(45deg, #667eea, #764ba2);
            border-radius: 10px;
        }
        
        /* 마크다운 스타일 */
        .gr-markdown {
            color: #4a5568 !important;
        }
        
        .gr-markdown h3 {
            color: #667eea !important;
            font-weight: 600 !important;
            margin: 15px 0 !important;
        }
        """
    ) as demo:
        with gr.Column(elem_classes="main-container"):
            gr.HTML(
                """
                <h1 class="header-title">🎵 ACE-Step PRO</h1>
                <div style="text-align: center; margin: 20px;">
                    <p style="font-size: 1.2em; color: #4a5568;"><strong>🚀 새로운 기능:</strong> AI 작사 | 품질 프리셋 | 다중 생성 | 스마트 프롬프트 | 실시간 프리뷰</p>
                    <p style="margin-top: 10px;">
                        <a href="https://ace-step.github.io/" target='_blank' style="color: #667eea; text-decoration: none; margin: 0 10px;">📄 Project</a> |
                        <a href="https://huggingface.co/ACE-Step/ACE-Step-v1-3.5B" style="color: #667eea; text-decoration: none; margin: 0 10px;">🤗 Checkpoints</a> |
                        <a href="https://discord.gg/rjAZz2xBdG" target='_blank' style="color: #667eea; text-decoration: none; margin: 0 10px;">💬 Discord</a> 
                    </p>
                </div>
                """
            )
            
            # 사용법 가이드 추가
            with gr.Accordion("📖 사용법 가이드", open=False):
                gr.Markdown("""
                ### 🎯 빠른 시작
                1. **장르 & 스타일 선택**: 원하는 음악 장르와 곡 스타일(듀엣, 솔로 등)을 선택합니다
                2. **AI 작사**: 주제를 입력하고 'AI 작사' 버튼으로 자동 가사를 생성합니다
                3. **품질 설정**: Draft(빠름) → Standard(권장) → High Quality → Ultra 중 선택
                4. **다중 생성**: "Best of 3/5/10" 선택하면 여러 번 생성하여 최고 품질을 자동 선택합니다
                5. **프리뷰**: 전체 생성 전 10초 프리뷰로 빠르게 확인할 수 있습니다
                
                ### 💡 품질 향상 팁
                - **고품질 생성**: "High Quality" + "Best of 5" 조합 추천
                - **빠른 테스트**: "Draft" + "프리뷰" 기능 활용
                - **장르 특화**: 장르 프리셋 선택 후 "스마트 향상" 체크
                - **가사 구조**: [verse], [chorus], [bridge] 태그 적극 활용
                - **다국어 지원**: 한국어로 주제를 입력하면 한국어 가사가 생성됩니다
                
                ### ⚠️ OpenAI API 설정
                AI 작사 기능을 사용하려면 환경변수에 OpenAI API 키를 설정해야 합니다:
                ```bash
                export LLM_API="your-openai-api-key"
                # 또는
                export OPENAI_API_KEY="your-openai-api-key"
                ```
                """)
            
            with gr.Tab("🎵 Enhanced Text2Music", elem_classes="gr-tab"):
                create_text2music_ui(
                    gr=gr,
                    text2music_process_func=text2music_process_func,
                    sample_data_func=sample_data_func,
                    load_data_func=load_data_func,
                )
    return demo


if __name__ == "__main__":
    print("🚀 ACE-Step PRO 시작 중...")
    demo = create_main_demo_ui()
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=True  # 공유 링크 생성
    )