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app.py

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+import argparse
+import gradio as gr
+import json
+import os
+import sys
+import hashlib
+import time
+from typing import List, Dict, Optional, Tuple
+from pathlib import Path
+
+import numpy as np
+from pydub import AudioSegment
+# 引入与 sample.py 一致的组件
+try:
+    from voice_bank import PredAll
+    from voice_bank.commons.ds_reader import DSReader
+    from voice_bank.commons.phome_num_counter import Phome
+    from pypinyin import pinyin, Style
+    from pypinyin.constants import RE_HANS
+except Exception:
+    PredAll = None
+    DSReader = None
+    Phome = None
+    Style = None
+    RE_HANS = None
+
+def get_opencpop_dict(path: str = str(Path("dictionaries") / "opencpop-extension.txt")) -> Dict[str, str]:
+    result = {"AP": "AP", "SP": "SP"}
+    p = Path(path)
+    if not p.exists():
+        return result
+    with p.open("r", encoding="utf-8") as f:
+        for line in f:
+            if "\t" in line:
+                k, v = line.split("\t", 1)
+                result[k.strip()] = v.strip()
+    return result
+
+def get_phonemes(text: str, opencpop_dict: Dict[str, str]) -> List[str]:
+    if Style is None:
+        # 无 pypinyin 时，退化为逐字符
+        return [opencpop_dict.get(ch, ch) for ch in list(text)]
+    pys = [x[0] for x in pinyin(text, style=Style.NORMAL)]
+    result: List[str] = []
+    for py in pys:
+        py = py.strip()
+        if not py:
+            continue
+        result.append(opencpop_dict.get(py, py))
+    return " ".join(result).split()
+
+# —— 文本预处理：相邻纯汉字不加空格，其余保留空格 ——
+def _is_hans_token(s: str) -> bool:
+    try:
+        return bool(RE_HANS and RE_HANS.fullmatch(s))
+    except Exception:
+        return False
+
+def preprocess_zh_spaces(text: str) -> str:
+    parts = [p for p in (text or "").split(" ") if p != ""]
+    if not parts:
+        return ""
+    out = []
+    for i, part in enumerate(parts):
+        if i == 0:
+            out.append(part)
+        else:
+            prev = parts[i - 1]
+            if _is_hans_token(prev) and _is_hans_token(part):
+                out[-1] = out[-1] + part
+            else:
+                out.append(" " + part)
+    return "".join(out)
+
+# 试图导入 diffsinger-utau（按要求使用该库，而非自行实现）
+try:
+    import diffsinger_utau  # 类型: 忽略
+except Exception as e:
+    diffsinger_utau = None
+
+ROOT = Path(__file__).parent.resolve()
+MODELS_DIR = ROOT / "models"
+PUBLIC_TEMPLATES_DIR = ROOT / "templates" / "public"
+USER_TEMPLATES_DIR = ROOT / "templates" / "user"
+OUTPUT_DIR = ROOT / "output" / "pred_all"
+CACHE_DIR = ROOT / "cache"
+
+AUDIO_EXTS = [".wav", ".mp3", ".flac", ".m4a", ".ogg"]
+# 预创建最大可编辑句子数，避免在事件中动态创建组件
+MAX_LINES = 200
+
+
+def ensure_dirs():
+    for p in [MODELS_DIR, PUBLIC_TEMPLATES_DIR, USER_TEMPLATES_DIR, OUTPUT_DIR, CACHE_DIR]:
+        p.mkdir(parents=True, exist_ok=True)
+
+
+def list_model_choices() -> List[str]:
+    # 模型以目录名为选择项；也允许单文件模型
+    choices = []
+    if MODELS_DIR.exists():
+        for p in sorted(MODELS_DIR.iterdir()):
+            if p.is_dir():
+                choices.append(str(p.relative_to(ROOT)))
+            elif p.is_file():
+                # 单文件权重
+                choices.append(str(p.relative_to(ROOT)))
+    return choices
+
+
+def find_templates() -> Dict[str, Path]:
+    """
+    返回 {模板名（不含扩展名）: 模板路径}
+    用户目录覆盖公开目录
+    """
+    results: Dict[str, Path] = {}
+    # 先公开
+    if PUBLIC_TEMPLATES_DIR.exists():
+        for p in PUBLIC_TEMPLATES_DIR.glob("*.ds"):
+            results[p.stem] = p
+    # 后用户（覆盖）
+    if USER_TEMPLATES_DIR.exists():
+        for p in USER_TEMPLATES_DIR.glob("*.ds"):
+            results[p.stem] = p
+    return results
+
+
+def bgm_path_for(template_path: Path) -> Optional[Path]:
+    base = template_path.with_suffix("")
+    for ext in AUDIO_EXTS:
+        cand = Path(str(base) + ext)
+        if cand.exists():
+            return cand
+    return None
+
+
+def load_ds(template_path: Path) -> List[Dict]:
+    # ds: 一个 list，每个元素为 dict，至少包含 text；可包含 offset（秒）
+    with open(template_path, "r", encoding="utf-8") as f:
+        data = json.load(f)
+    if not isinstance(data, list):
+        raise ValueError("ds 模板需要是一个 list")
+    # 标准化
+    norm = []
+    for i, item in enumerate(data):
+        if not isinstance(item, dict):
+            raise ValueError(f"ds 第 {i+1} 个元素不是 dict")
+        text = item.get("text", "")
+        if not isinstance(text, str):
+            raise ValueError(f"ds 第 {i+1} 个元素的 text 不是字符串")
+        offset = item.get("offset", 0.0)
+        try:
+            offset = float(offset)
+        except Exception:
+            offset = 0.0
+        norm.append({"text": text, "offset": offset, **item})
+    return norm
+
+
+def audiosegment_from_file(path: Path) -> AudioSegment:
+    return AudioSegment.from_file(str(path))
+
+
+def export_wav(seg: AudioSegment, path: Path):
+    path.parent.mkdir(parents=True, exist_ok=True)
+    seg.export(str(path), format="wav")
+
+
+def overlay_bgm_snippet(vocal_wav: Path, bgm_audio: AudioSegment, offset_sec: float, gain_db: float = 0.0) -> AudioSegment:
+    vocal = audiosegment_from_file(vocal_wav)
+    if gain_db != 0.0:
+        vocal = vocal + gain_db
+    start_ms = max(int(offset_sec * 1000), 0)
+    # 确保 BGM 足够长，不够则静音补齐
+    if len(bgm_audio) < start_ms + len(vocal):
+        pad_ms = start_ms + len(vocal) - len(bgm_audio)
+        bgm_audio = bgm_audio + AudioSegment.silent(duration=pad_ms)
+    mixed = bgm_audio.overlay(vocal, position=start_ms)
+    # 裁剪到混音范围以便预览：从 start_ms 到 start_ms+len(vocal)
+    return mixed[start_ms : start_ms + len(vocal)]
+
+
+def concat_with_offsets(clips: List[Tuple[AudioSegment, float]]) -> AudioSegment:
+    # 根据 offset 将多个片段放置在时间线上，输出包含至最大结束时间
+    if not clips:
+        return AudioSegment.silent(duration=0)
+    max_end_ms = 0
+    for seg, offset in clips:
+        start = int(max(offset, 0) * 1000)
+        max_end_ms = max(max_end_ms, start + len(seg))
+    timeline = AudioSegment.silent(duration=max_end_ms)
+    for seg, offset in clips:
+        start = int(max(offset, 0) * 1000)
+        timeline = timeline.overlay(seg, position=start)
+    return timeline
+
+
+def mix_full_song(vocal: AudioSegment, bgm: AudioSegment) -> AudioSegment:
+    # 保证两者同长度
+    if len(bgm) < len(vocal):
+        bgm = bgm + AudioSegment.silent(duration=(len(vocal) - len(bgm)))
+    else:
+        vocal = vocal + AudioSegment.silent(duration=(len(bgm) - len(vocal)))
+    return bgm.overlay(vocal)
+
+
+def param_hash(model_sel: str, speaker: str, key_shift: int, steps: int, text: str) -> str:
+    s = json.dumps(
+        {
+            "model": model_sel,
+            "speaker": speaker or "",
+            "key_shift": int(key_shift),
+            "steps": int(steps),
+            "text": text or "",
+        },
+        ensure_ascii=False,
+        separators=(",", ":"),
+        sort_keys=True,
+    )
+    return hashlib.md5(s.encode("utf-8")).hexdigest()[:16]
+
+
+class DiffSingerEngine:
+    def __init__(self):
+        self.impl = diffsinger_utau
+        self.entry = None
+        if self.impl is not None:
+            # 尝试发现可用入口函数（不同版本可能不同）
+            candidates = ["synthesize", "synth", "infer", "generate", "tts"]
+            for name in candidates:
+                fn = getattr(self.impl, name, None)
+                if callable(fn):
+                    self.entry = fn
+                    break
+
+    def is_ready(self) -> bool:
+        return self.impl is not None and self.entry is not None
+
+    def synth_once(
+        self,
+        model_path: Path,
+        text: str,
+        speaker: Optional[str],
+        key_shift: int,
+        steps: int,
+        out_wav: Path,
+    ) -> None:
+        """
+        使用 diffsinger-utau 渲染单句音频到 out_wav。
+        如果不同版本签名不同，将尝试多种参数形式。
+        """
+        if not self.is_ready():
+            raise RuntimeError(
+                "未找到可用的 diffsinger-utau 推理入口。请确认已安装并与 torch==1.13.1 兼容。"
+            )
+
+        out_wav.parent.mkdir(parents=True, exist_ok=True)
+
+        tried = []
+
+        def call_or_record(fn, kwargs):
+            tried.append({"fn": fn.__name__, "kwargs": list(kwargs.keys())})
+            return fn(**kwargs)
+
+        # 常见签名尝试
+        errors = []
+        for kwargs in [
+            dict(model=str(model_path), text=text, speaker=speaker, key_shift=key_shift, steps=steps, out=str(out_wav)),
+            dict(model=str(model_path), text=text, speaker=speaker, key_shift=key_shift, acoustic_steps=steps, out=str(out_wav)),
+            dict(model_path=str(model_path), text=text, speaker=speaker, key_shift=key_shift, steps=steps, output=str(out_wav)),
+            dict(model=str(model_path), text=text, key_shift=key_shift, steps=steps, out=str(out_wav)),
+            dict(model=str(model_path), text=text, out=str(out_wav)),
+        ]:
+            # 移除 None
+            kwargs = {k: v for k, v in kwargs.items() if v is not None}
+            try:
+                ret = call_or_record(self.entry, kwargs)
+                # 若函数返回波形和采样率，也直接落盘
+                if ret is not None and isinstance(ret, (tuple, list)) and len(ret) >= 2:
+                    wav, sr = ret[0], ret[1]
+                    import soundfile as sf  # 懒加载
+                    sf.write(str(out_wav), np.asarray(wav, dtype=np.float32), int(sr))
+                # 若 out_wav 成功生成，结束
+                if out_wav.exists() and out_wav.stat().st_size > 0:
+                    return
+            except Exception as e:
+                errors.append(f"{e}")
+
+        raise RuntimeError(
+            "调用 diffsinger-utau 失败。已尝试多种签名："
+            + json.dumps(tried, ensure_ascii=False)
+            + f"；错误示例：{errors[-1] if errors else '未知'}"
+        )
+
+
+engine = DiffSingerEngine()
+
+class DSUEngine:
+    """
+    基于 voice_bank.PredAll 的推理引擎；若不可用则回退到 DiffSingerEngine。
+    """
+    def __init__(self, old_engine: DiffSingerEngine):
+        self.old = old_engine
+        self.available = PredAll is not None and DSReader is not None
+        self.predictors: Dict[str, object] = {}  # model_path -> PredAll 实例
+        self.opencpop = get_opencpop_dict()
+
+    def is_ready(self) -> bool:
+        return self.available or self.old.is_ready()
+
+    def _get_predictor(self, model_path: Path):
+        key = str(model_path.resolve())
+        if key not in self.predictors:
+            self.predictors[key] = PredAll(Path(key))
+        return self.predictors[key]
+
+    def synth_line(
+        self,
+        model_path: Path,
+        template_path: Path,
+        line_index: int,
+        text: str,
+        speaker: Optional[str],
+        key_shift: int,
+        steps: int,
+        out_wav: Path,
+    ) -> None:
+        if self.available:
+            predictor = self._get_predictor(model_path)
+            # 读取 ds，并替换目标行文本与必要的音素
+            ds_list = DSReader(str(template_path)).read_ds()
+            if not (0 <= line_index < len(ds_list)):
+                raise IndexError("行索引越界")
+            ds = ds_list[line_index]
+            old_text = ds.get("text", "")
+            ds["text"] = text
+            # 若文本变化或缺少音素信息，则基于新文本重算音素
+            if (text != old_text) or (not ds.get("ph_seq")) or (not ds.get("ph_num")):
+                phonemes = get_phonemes(text, self.opencpop)
+                ds["ph_seq"] = " ".join(phonemes)
+                ds["ph_num"] = " ".join(map(str, Phome(phonemes).get_ph_num())) if Phome else ""
+
+            # 选择说话人
+            spk = speaker
+            try:
+                if (not spk) and getattr(predictor, "available_speakers", None):
+                    av = predictor.available_speakers
+                    if isinstance(av, (list, tuple)) and len(av) > 0:
+                        spk = av[0]
+            except Exception:
+                pass
+
+            out_wav.parent.mkdir(parents=True, exist_ok=True)
+            results = predictor.predict_full_pipeline(
+                ds=ds,
+                lang="zh",
+                speaker=spk,
+                key_shift=int(key_shift),
+                pitch_steps=10,
+                variance_steps=10,
+                acoustic_steps=int(steps),
+                gender=0.0,
+                output_dir=str(out_wav.parent),
+                save_intermediate=False,
+            )
+            # 拷贝/重命名输出为指定文件名
+            audio_path = results.get("audio_path") if isinstance(results, dict) else None
+            if not audio_path:
+                raise RuntimeError("predict_full_pipeline 未返回 audio_path")
+            src = Path(audio_path)
+            if src.resolve() != out_wav.resolve():
+                if src.exists():
+                    src.replace(out_wav)
+            if not out_wav.exists() or out_wav.stat().st_size == 0:
+                raise RuntimeError("未能生成音频文件")
+        else:
+            # 回退旧引擎（不依赖 ds）
+            self.old.synth_once(model_path, text, speaker, key_shift, steps, out_wav)
+
+# 用 DSUEngine 覆盖默认引擎
+engine = DSUEngine(engine)
+
+
+def get_template_choices_and_bgm_visible():
+    mapping = find_templates()
+    names = sorted(mapping.keys())
+    # 根据当前选择动态决定 BGM 开关可见与否，默认False由前端逻辑控制
+    return names
+
+
+def on_select_template(template_name: str):
+    mapping = find_templates()
+    if not template_name or template_name not in mapping:
+        return gr.update(visible=False, value=False), [], []
+    p = mapping[template_name]
+    bgm = bgm_path_for(p)
+    ds = load_ds(p)
+    lines = [preprocess_zh_spaces(item.get("text", "")) for item in ds]
+    offsets = [float(item.get("offset", 0.0)) for item in ds]
+    bgm_update = gr.update(visible=(bgm is not None), value=(bgm is not None))
+    return bgm_update, lines, offsets
+
+
+def render_single_line(
+    model_sel: str,
+    template_name: str,
+    line_index: int,
+    new_text: str,
+    speaker: str,
+    key_shift: int,
+    steps: int,
+    use_bgm: bool,
+) -> Tuple[Optional[str], Optional[str]]:
+    """
+    渲染单句，返回：(音频路径, 错误消息)
+    """
+    try:
+        if not model_sel:
+            return None, "请先选择模型"
+        mapping = find_templates()
+        if template_name not in mapping:
+            return None, "未找到模板"
+        template_path = mapping[template_name]
+        ds = load_ds(template_path)
+        if not (0 <= line_index < len(ds)):
+            return None, "行索引越界"
+        # 更新该句的文本（仅用于本次渲染；不写回文件）
+        text = new_text.strip()
+        if not text:
+            return None, "文本为空"
+
+        # 缓存键
+        h = param_hash(model_sel, speaker, key_shift, steps, text)
+        cache_dir = OUTPUT_DIR / template_name / h
+        cache_dir.mkdir(parents=True, exist_ok=True)
+        wav_out = cache_dir / f"line_{line_index+1}.wav"
+
+        if not wav_out.exists():
+            # 执行推理
+            model_path = ROOT / model_sel
+            engine.synth_line(
+                model_path=model_path,
+                template_path=template_path,
+                line_index=line_index,
+                text=text,
+                speaker=speaker or None,
+                key_shift=int(key_shift),
+                steps=int(steps),
+                out_wav=wav_out,
+            )
+
+        # 是否混音预览
+        mapping_bgm = bgm_path_for(template_path)
+        if use_bgm and mapping_bgm and mapping_bgm.exists():
+            bgm_audio = audiosegment_from_file(mapping_bgm)
+            offset = float(ds[line_index].get("offset", 0.0))
+            mixed_seg = overlay_bgm_snippet(wav_out, bgm_audio, offset)
+            preview_wav = cache_dir / f"line_{line_index+1}_preview.wav"
+            export_wav(mixed_seg, preview_wav)
+            return str(preview_wav), None
+
+        return str(wav_out), None
+
+    except Exception as e:
+        return None, f"{type(e).__name__}: {e}"
+
+
+def generate_full_song(
+    model_sel: str,
+    template_name: str,
+    lines: List[str],
+    speaker: str,
+    key_shift: int,
+    steps: int,
+    use_bgm: bool,
+) -> Tuple[Optional[str], Optional[str]]:
+    """
+    生成整曲，返回：(主输出音频路径, 混音输出音频路径或错误消息字符串)
+    """
+    try:
+        if not model_sel:
+            return None, "请先选择模型"
+        mapping = find_templates()
+        if template_name not in mapping:
+            return None, "未找到模板"
+        template_path = mapping[template_name]
+        ds = load_ds(template_path)
+        if len(ds) != len(lines):
+            return None, "模板行数与编辑行数不一致"
+
+        # 对每句生成或复用缓存
+        segs_with_offsets: List[Tuple[AudioSegment, float]] = []
+        model_path = ROOT / model_sel
+        for idx, item in enumerate(ds):
+            text = (lines[idx] or "").strip()
+            if not text:
+                continue
+            h = param_hash(model_sel, speaker, key_shift, steps, text)
+            cache_dir = OUTPUT_DIR / template_name / h
+            cache_dir.mkdir(parents=True, exist_ok=True)
+            wav_out = cache_dir / f"line_{idx+1}.wav"
+            if not wav_out.exists():
+                engine.synth_line(
+                    model_path=model_path,
+                    template_path=template_path,
+                    line_index=idx,
+                    text=text,
+                    speaker=speaker or None,
+                    key_shift=int(key_shift),
+                    steps=int(steps),
+                    out_wav=wav_out,
+                )
+            segs_with_offsets.append((audiosegment_from_file(wav_out), float(item.get("offset", 0.0))))
+
+        # 时间线拼接为全曲人声
+        vocal_full = concat_with_offsets(segs_with_offsets)
+        final_dir = OUTPUT_DIR / template_name / "final"
+        final_dir.mkdir(parents=True, exist_ok=True)
+        ts_tag = time.strftime("%Y%m%d_%H%M%S")
+        vocal_path = final_dir / f"{template_name}_vocal_{ts_tag}.wav"
+        export_wav(vocal_full, vocal_path)
+
+        # 混音版本（如有 BGM 且开启开关）
+        mixed_path = None
+        bgm_p = bgm_path_for(template_path)
+        if use_bgm and bgm_p and bgm_p.exists():
+            bgm_audio = audiosegment_from_file(bgm_p)
+            mixed = mix_full_song(vocal_full, bgm_audio)
+            mixed_path = final_dir / f"{template_name}_mixed_{ts_tag}.wav"
+            export_wav(mixed, mixed_path)
+
+        return str(vocal_path), (str(mixed_path) if mixed_path else None)
+
+    except Exception as e:
+        return None, f"{type(e).__name__}: {e}"
+
+
+def save_uploaded_template(file_obj) -> str:
+    """
+    将用户上传的 ds 模板保存到 templates/user，并返回模板名。
+    """
+    try:
+        if file_obj is None:
+            raise ValueError("未选择文件")
+        src = Path(file_obj.name)
+        if src.suffix.lower() != ".ds":
+            raise ValueError("仅支持 .ds 模板文件")
+        USER_TEMPLATES_DIR.mkdir(parents=True, exist_ok=True)
+        dst = USER_TEMPLATES_DIR / src.name
+        # 读取并简单校验
+        data = json.loads(Path(file_obj.name).read_text(encoding="utf-8"))
+        if not isinstance(data, list):
+            raise ValueError("ds 文件格式错误：顶层必须是 list")
+        dst.write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
+        return src.stem
+    except Exception as e:
+        return f"ERROR::{type(e).__name__}: {e}"
+
+
+def build_ui():
+    ensure_dirs()
+    model_choices = list_model_choices()
+    template_names = get_template_choices_and_bgm_visible()
+
+    css = """
+    html, body, #root, .gradio-container { height: 100%; overflow: hidden; }
+    #main-row { height: 100vh; overflow: hidden; }
+    #left-panel, #right-panel {
+        height: 100vh;
+        overflow-y: auto;
+        padding: 12px;
+    }
+    #left-panel { border-right: 1px solid #eee; }
+    /* 紧凑按钮样式 */
+    .compact-btn button { padding: 4px 10px !important; min-height: 30px !important; height: 30px !important; }
+    .compact-row { gap: 8px !important; }
+    """
+
+    with gr.Blocks(title="DiffSinger WebUI", theme=gr.themes.Soft(), css=css) as demo:
+        with gr.Row(elem_id="main-row"):
+            # 左栏：控制/预览（固定）
+            with gr.Column(elem_id="left-panel", scale=1, min_width=360):
+                # 左栏标题与模型/模板选择、上传/下载
+                gr.Markdown("## DiffSinger WebUI")
+                model_sel = gr.Dropdown(choices=model_choices, label="模型选择", value=(model_choices[0] if model_choices else None))
+                template_sel = gr.Dropdown(choices=template_names, label="模板选择", value=(template_names[0] if template_names else None))
+                with gr.Row(elem_classes=["compact-row"]):
+                    upload = gr.UploadButton("上传ds模板", file_types=[".ds"], elem_classes=["compact-btn"])
+                    download_btn = gr.DownloadButton(label="下载当前ds状态", elem_classes=["compact-btn"])
+
+                with gr.Row():
+                    bgm_switch = gr.Checkbox(label="BGM开关", value=False, visible=False)
+                    key_shift = gr.Slider(-12, 12, value=0, step=1, label="音高偏移")
+                    steps = gr.Slider(1, 50, value=4, step=1, label="渲染步数")
+                speaker = gr.Dropdown(label="演唱者", choices=[], value=None, interactive=True)
+
+                # 单句预览与错误提示
+                per_line_audio = gr.Audio(label="单句预览", autoplay=True, interactive=False)
+                per_line_error = gr.Markdown("", visible=False)
+
+                # 生成控制与输出
+                gen_btn = gr.Button("生成整首")
+                progress_md = gr.Markdown("", visible=True)
+                full_vocal = gr.Audio(label="整首（人声）", autoplay=False)
+                full_mixed = gr.Audio(label="整首（混音）", autoplay=False, visible=False)
+
+            # 右栏：模板与歌词编辑
+            with gr.Column(elem_id="right-panel", scale=2):
+                # 状态与歌词编辑容器（右栏仅歌词编辑）
+                lines_state = gr.State([])
+                offsets_state = gr.State([])
+                # 生成控制状态
+                stop_flag = gr.State(False)
+                generating_flag = gr.State(False)
+                dyn = gr.Column()
+
+                # 预创建文本框，依据当前模板设置初始可见性和值
+                textboxes = []
+                init_lines = []
+                init_offsets = []
+                if template_sel.value:
+                    try:
+                        _, init_lines, init_offsets = on_select_template(template_sel.value)
+                    except Exception:
+                        init_lines, init_offsets = [], []
+                with dyn:
+                    for i in range(MAX_LINES):
+                        visible = i < len(init_lines)
+                        val = init_lines[i] if visible else ""
+                        tb = gr.Textbox(value=val, label=f"第 {i+1} 句", lines=1, max_lines=1, visible=visible)
+                        textboxes.append(tb)
+                if template_sel.value:
+                    lines_state.value = init_lines
+                    offsets_state.value = init_offsets
+
+        # 事件：选择模板时，更新 BGM 开关、整首混音可见性与文本框内容
+        def on_template_change(template_name):
+            bgm_update, lines, offsets = on_select_template(template_name)
+            has_bgm = bool(bgm_update.get("visible", False)) if isinstance(bgm_update, dict) else False
+            tb_updates = []
+            n = len(lines)
+            for i, tb in enumerate(textboxes):
+                if i < n:
+                    tb_updates.append(gr.update(value=lines[i], visible=True))
+                else:
+                    tb_updates.append(gr.update(value="", visible=False))
+            # 返回：BGM、模板下拉、状态、错误清空、整首混音可见性（按是否存在BGM），以及所有文本框更新
+            return (
+                bgm_update,
+                gr.update(choices=get_template_choices_and_bgm_visible(), value=template_name),
+                lines,
+                offsets,
+                gr.update(value="", visible=False),
+                gr.update(visible=has_bgm),
+                *tb_updates,
+            )
+
+        # 模型切换：动态更新 speaker 下拉项
+        def on_model_change(model_path_rel):
+            try:
+                if not model_path_rel:
+                    return gr.update(choices=[], value=None, interactive=False)
+                model_path = ROOT / model_path_rel
+                choices = []
+                if getattr(engine, "available", False) and model_path.exists():
+                    predictor = engine._get_predictor(model_path)
+                    av = getattr(predictor, "available_speakers", None)
+                    if isinstance(av, (list, tuple)):
+                        choices = list(av)
+                if choices:
+                    return gr.update(choices=choices, value=choices[0], interactive=True)
+                else:
+                    return gr.update(choices=[], value=None, interactive=False)
+            except Exception:
+                return gr.update(choices=[], value=None, interactive=False)
+
+        model_sel.change(
+            fn=on_model_change,
+            inputs=[model_sel],
+            outputs=[speaker],
+        )
+
+        # BGM 开关变化：控制“整首（混音）”可见性（需当前模板存在 BGM）
+        def on_bgm_toggle(use_bgm, template_name):
+            mapping = find_templates()
+            has_bgm = False
+            if template_name in mapping:
+                has_bgm = bgm_path_for(mapping[template_name]) is not None
+            return gr.update(visible=bool(use_bgm and has_bgm))
+
+        bgm_switch.change(
+            fn=on_bgm_toggle,
+            inputs=[bgm_switch, template_sel],
+            outputs=[full_mixed],
+        )
+
+        # 模板切换：批量更新预创建文本框 + 初始化整首混音可见性
+        template_sel.change(
+            fn=on_template_change,
+            inputs=[template_sel],
+            outputs=[bgm_switch, template_sel, lines_state, offsets_state, per_line_error, full_mixed, *textboxes],
+        )
+
+        # 上传模板：将用户 .ds 保存到 templates/user，并刷新模板下拉
+        def on_upload_ds(file_obj):
+            try:
+                if not file_obj:
+                    raise gr.Error("未选择文件")
+                # gr.UploadButton 返回字典/路径，兼容不同返回
+                import shutil
+                from pathlib import Path as _P
+                src = _P(file_obj.name) if hasattr(file_obj, "name") else _P(str(file_obj))
+                if src.suffix.lower() != ".ds":
+                    raise gr.Error("仅支持 .ds 文件")
+                dst_dir = USER_TEMPLATES_DIR
+                dst_dir.mkdir(parents=True, exist_ok=True)
+                dst = dst_dir / src.name
+                shutil.copyfile(src, dst)
+                # 刷新模板列表，并选中新上传的模板名（无扩展）
+                new_choices = get_template_choices_and_bgm_visible()
+                base = src.stem
+                # 若同名覆盖，模板名以去扩展后的相对名为准
+                # 确认在 choices 中（user 覆盖 public）
+                if base not in new_choices and (dst_dir / src.name).exists():
+                    # 有些实现是用完整相对路径名，这里退化为重新计算 choices
+                    pass
+                return gr.update(choices=new_choices, value=base)
+            except Exception as e:
+                raise gr.Error(f"上传失败: {e}")
+
+        upload.upload(
+            fn=on_upload_ds,
+            inputs=[upload],
+            outputs=[template_sel],
+        )
+
+        # 初始构建已通过预创建完成
+
+        # 文本提交事件：逐句渲染（为预创建文本框绑定）
+        for idx, tb in enumerate(textboxes):
+            def make_submit(i):
+                def _submit(new_text, lines_list, model_sel_v, template_sel_v, speaker_v, key_shift_v, steps_v, use_bgm_v):
+                    # 仅处理当前可见范围内的行
+                    if not isinstance(lines_list, list) or i >= max(len(lines_list), 0):
+                        return gr.update(), gr.update(), lines_list
+                    audio_path, err = render_single_line(model_sel_v, template_sel_v, i, new_text, speaker_v, key_shift_v, steps_v, use_bgm_v)
+                    if i < len(lines_list):
+                        lines_list[i] = new_text
+                    if err:
+                        return gr.update(value=None), gr.update(value=f"❌ {err}", visible=True), lines_list
+                    return gr.update(value=audio_path), gr.update(value="", visible=False), lines_list
+                return _submit
+            tb.submit(
+                fn=make_submit(idx),
+                inputs=[tb, lines_state, model_sel, template_sel, speaker, key_shift, steps, bgm_switch],
+                outputs=[per_line_audio, per_line_error, lines_state],
+            )
+
+        # 生成整首（支持进度与中断）
+        def on_gen_or_stop(model_sel_v, template_sel_v, speaker_v, key_shift_v, steps_v, use_bgm_v, lines, stop, generating, progress=gr.Progress(track_tqdm=True)):
+            # 若正在生成，本次点击作为“停止”信号，仅更新按钮与提示
+            if generating:
+                stop = True
+                return gr.update(), gr.update(), gr.update(value="生成整首"), gr.update(value="已请求停止，稍候..."), stop, generating
+
+            # 启动生成：切换按钮，清空输出，重置停止标志
+            stop = False
+            generating = True
+            yield gr.update(value=None), gr.update(value=None), gr.update(value="停止生成整首"), gr.update(value="开始生成..."), stop, generating
+
+            try:
+                mapping = find_templates()
+                if not model_sel_v:
+                    raise gr.Error("请先选择模型")
+                if template_sel_v not in mapping:
+                    raise gr.Error("未找到模板")
+                template_path = mapping[template_sel_v]
+                ds = load_ds(template_path)
+                if len(ds) != len(lines or []):
+                    raise gr.Error("模板行数与编辑行数不一致")
+
+                model_path = ROOT / model_sel_v
+                segs_with_offsets = []
+                total = len(ds)
+                for idx, item in enumerate(ds):
+                    if stop:
+                        yield gr.update(), gr.update(), gr.update(value="生成整首"), gr.update(value=f"已中断，完成 {idx}/{total} 行。"), stop, False
+                        return
+                    text = (lines[idx] or "").strip()
+                    if not text:
+                        # 更新进度显示但不合成
+                        progress((idx + 1) / total, desc=f"跳过空白句 {idx+1}/{total}")
+                        yield gr.update(), gr.update(), gr.update(value="停止生成整首"), gr.update(value=f"跳过空白句 {idx+1}/{total}"), stop, True
+                        continue
+
+                    progress((idx + 1) / total, desc=f"渲染第 {idx+1}/{total} 句")
+                    yield gr.update(), gr.update(), gr.update(value="停止生成整首"), gr.update(value=f"渲染第 {idx+1}/{total} 句..."), stop, True
+
+                    h = param_hash(model_sel_v, speaker_v, key_shift_v, steps_v, text)
+                    cache_dir = OUTPUT_DIR / template_sel_v / h
+                    cache_dir.mkdir(parents=True, exist_ok=True)
+                    wav_out = cache_dir / f"line_{idx+1}.wav"
+                    if not wav_out.exists():
+                        engine.synth_line(
+                            model_path=model_path,
+                            template_path=template_path,
+                            line_index=idx,
+                            text=text,
+                            speaker=speaker_v or None,
+                            key_shift=int(key_shift_v),
+                            steps=int(steps_v),
+                            out_wav=wav_out,
+                        )
+                    segs_with_offsets.append((audiosegment_from_file(wav_out), float(item.get("offset", 0.0))))
+
+                # 拼接输出
+                vocal_full = concat_with_offsets(segs_with_offsets)
+                final_dir = OUTPUT_DIR / template_sel_v / "final"
+                final_dir.mkdir(parents=True, exist_ok=True)
+                ts_tag = time.strftime("%Y%m%d_%H%M%S")
+                vocal_path = final_dir / f"{template_sel_v}_vocal_{ts_tag}.wav"
+                export_wav(vocal_full, vocal_path)
+
+                mixed_path = None
+                bgm_p = bgm_path_for(template_path)
+                if use_bgm_v and bgm_p and bgm_p.exists():
+                    mixed = mix_full_song(vocal_full, audiosegment_from_file(bgm_p))
+                    mixed_path = final_dir / f"{template_sel_v}_mixed_{ts_tag}.wav"
+                    export_wav(mixed, mixed_path)
+
+                # 完成
+                yield gr.update(value=str(vocal_path)), gr.update(value=(str(mixed_path) if mixed_path else None)), gr.update(value="生成整首"), gr.update(value="已完成"), False, False
+            except Exception as e:
+                yield gr.update(value=None), gr.update(value=None), gr.update(value="生成整首"), gr.update(value=f"❌ 失败：{type(e).__name__}: {e}"), False, False
+
+        gen_btn.click(
+            fn=on_gen_or_stop,
+            inputs=[model_sel, template_sel, speaker, key_shift, steps, bgm_switch, lines_state, stop_flag, generating_flag],
+            outputs=[full_vocal, full_mixed, gen_btn, progress_md, stop_flag, generating_flag],
+        )
+
+        # 下载当前编辑后的 ds
+        def build_current_ds(template_sel_v, lines, offsets):
+            mapping = find_templates()
+            if not template_sel_v or template_sel_v not in mapping:
+                raise gr.Error("未选择有效模板")
+            tpl = mapping[template_sel_v]
+            ds = load_ds(tpl)
+            # 覆盖 text，并基于最新文本重算 ph_seq / ph_num
+            for i in range(min(len(ds), len(lines or []))):
+                new_text = lines[i] if lines and i < len(lines) else ds[i].get("text", "")
+                ds[i]["text"] = new_text
+                phonemes = get_phonemes(new_text, get_opencpop_dict())
+                ds[i]["ph_seq"] = " ".join(phonemes)
+                ds[i]["ph_num"] = " ".join(map(str, Phome(phonemes).get_ph_num())) if Phome else ds[i].get("ph_num", "")
+            # 输出到 output/pred_all/<template>/edits
+            ts_tag = time.strftime("%Y%m%d_%H%M%S")
+            out_dir = OUTPUT_DIR / template_sel_v / "edits"
+            out_dir.mkdir(parents=True, exist_ok=True)
+            out_path = out_dir / f"{template_sel_v}_edited_{ts_tag}.ds"
+            out_path.write_text(json.dumps(ds, ensure_ascii=False, indent=2), encoding="utf-8")
+            return str(out_path)
+
+        download_btn.click(
+            fn=build_current_ds,
+            inputs=[template_sel, lines_state, offsets_state],
+            outputs=[download_btn],
+        )
+
+        # 上传模板：保存后通过更新模板下拉触发重建（复用模板切换事件）
+        def on_upload(file_obj, current_template):
+            name = save_uploaded_template(file_obj)
+            if name.startswith("ERROR::"):
+                return gr.update(choices=get_template_choices_and_bgm_visible(), value=current_template), gr.update(value=f"❌ {name[7:]}", visible=True)
+            # 成功：将模板选择切换为新模板，触发 on_template_change 自动重建文本框
+            return gr.update(choices=get_template_choices_and_bgm_visible(), value=name), gr.update(value="", visible=False)
+
+        upload.upload(
+            fn=on_upload,
+            inputs=[upload, template_sel],
+            outputs=[template_sel, per_line_error],
+        )
+
+        # 进入页面时，自动刷新 speaker 与模板/BGM/歌词区
+        def on_app_load(model_path_rel, template_name):
+            spk_upd = on_model_change(model_path_rel)
+            tpl_upds = on_template_change(template_name)
+            return (spk_upd, *tpl_upds)
+
+        demo.load(
+            fn=on_app_load,
+            inputs=[model_sel, template_sel],
+            outputs=[speaker, bgm_switch, template_sel, lines_state, offsets_state, per_line_error, full_mixed, *textboxes],
+        )
+
+    return demo
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--host", type=str, default="127.0.0.1")
+    parser.add_argument("--port", type=int, default=7860)
+    args = parser.parse_args()
+
+    demo = build_ui()
+    demo.launch(server_name=args.host, server_port=args.port, show_error=True)
+
+
+if __name__ == "__main__":
+    main()

dictionaries/.gitignore

@@ -0,0 +1,3 @@
+*.py
+*.txt
+!opencpop*

dictionaries/opencpop-extension.txt

@@ -0,0 +1,601 @@
+a	a
+ai	ai
+an	an
+ang	ang
+ao	ao
+ba	b a
+bai	b ai
+ban	b an
+bang	b ang
+bao	b ao
+be	b e
+bei	b ei
+ben	b en
+beng	b eng
+ber	b er
+bi	b i
+bia	b ia
+bian	b ian
+biang	b iang
+biao	b iao
+bie	b ie
+bin	b in
+bing	b ing
+biong	b iong
+biu	b iu
+bo	b o
+bong	b ong
+bou	b ou
+bu	b u
+bua	b ua
+buai	b uai
+buan	b uan
+buang	b uang
+bui	b ui
+bun	b un
+bv	b v
+bve	b ve
+ca	c a
+cai	c ai
+can	c an
+cang	c ang
+cao	c ao
+ce	c e
+cei	c ei
+cen	c en
+ceng	c eng
+cer	c er
+cha	ch a
+chai	ch ai
+chan	ch an
+chang	ch ang
+chao	ch ao
+che	ch e
+chei	ch ei
+chen	ch en
+cheng	ch eng
+cher	ch er
+chi	ch ir
+chong	ch ong
+chou	ch ou
+chu	ch u
+chua	ch ua
+chuai	ch uai
+chuan	ch uan
+chuang	ch uang
+chui	ch ui
+chun	ch un
+chuo	ch uo
+chv	ch v
+chyi	ch i
+ci	c i0
+cong	c ong
+cou	c ou
+cu	c u
+cua	c ua
+cuai	c uai
+cuan	c uan
+cuang	c uang
+cui	c ui
+cun	c un
+cuo	c uo
+cv	c v
+cyi	c i
+da	d a
+dai	d ai
+dan	d an
+dang	d ang
+dao	d ao
+de	d e
+dei	d ei
+den	d en
+deng	d eng
+der	d er
+di	d i
+dia	d ia
+dian	d ian
+diang	d iang
+diao	d iao
+die	d ie
+din	d in
+ding	d ing
+diong	d iong
+diu	d iu
+dong	d ong
+dou	d ou
+du	d u
+dua	d ua
+duai	d uai
+duan	d uan
+duang	d uang
+dui	d ui
+dun	d un
+duo	d uo
+dv	d v
+dve	d ve
+e	e
+ei	ei
+en	en
+eng	eng
+er	er
+fa	f a
+fai	f ai
+fan	f an
+fang	f ang
+fao	f ao
+fe	f e
+fei	f ei
+fen	f en
+feng	f eng
+fer	f er
+fi	f i
+fia	f ia
+fian	f ian
+fiang	f iang
+fiao	f iao
+fie	f ie
+fin	f in
+fing	f ing
+fiong	f iong
+fiu	f iu
+fo	f o
+fong	f ong
+fou	f ou
+fu	f u
+fua	f ua
+fuai	f uai
+fuan	f uan
+fuang	f uang
+fui	f ui
+fun	f un
+fv	f v
+fve	f ve
+ga	g a
+gai	g ai
+gan	g an
+gang	g ang
+gao	g ao
+ge	g e
+gei	g ei
+gen	g en
+geng	g eng
+ger	g er
+gi	g i
+gia	g ia
+gian	g ian
+giang	g iang
+giao	g iao
+gie	g ie
+gin	g in
+ging	g ing
+giong	g iong
+giu	g iu
+gong	g ong
+gou	g ou
+gu	g u
+gua	g ua
+guai	g uai
+guan	g uan
+guang	g uang
+gui	g ui
+gun	g un
+guo	g uo
+gv	g v
+gve	g ve
+ha	h a
+hai	h ai
+han	h an
+hang	h ang
+hao	h ao
+he	h e
+hei	h ei
+hen	h en
+heng	h eng
+her	h er
+hi	h i
+hia	h ia
+hian	h ian
+hiang	h iang
+hiao	h iao
+hie	h ie
+hin	h in
+hing	h ing
+hiong	h iong
+hiu	h iu
+hong	h ong
+hou	h ou
+hu	h u
+hua	h ua
+huai	h uai
+huan	h uan
+huang	h uang
+hui	h ui
+hun	h un
+huo	h uo
+hv	h v
+hve	h ve
+ji	j i
+jia	j ia
+jian	j ian
+jiang	j iang
+jiao	j iao
+jie	j ie
+jin	j in
+jing	j ing
+jiong	j iong
+jiu	j iu
+ju	j v
+juan	j van
+jue	j ve
+jun	j vn
+ka	k a
+kai	k ai
+kan	k an
+kang	k ang
+kao	k ao
+ke	k e
+kei	k ei
+ken	k en
+keng	k eng
+ker	k er
+ki	k i
+kia	k ia
+kian	k ian
+kiang	k iang
+kiao	k iao
+kie	k ie
+kin	k in
+king	k ing
+kiong	k iong
+kiu	k iu
+kong	k ong
+kou	k ou
+ku	k u
+kua	k ua
+kuai	k uai
+kuan	k uan
+kuang	k uang
+kui	k ui
+kun	k un
+kuo	k uo
+kv	k v
+kve	k ve
+la	l a
+lai	l ai
+lan	l an
+lang	l ang
+lao	l ao
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+    "text": "AP 好 不 好 嘛 SP AP 求 SP 求 你 啦 SP AP 拜 托 SP 拜 托 SP 行 不 行 呀 AP 我 不 管 嘛 SP AP 你 最 好 啦 AP 我 爱 你 呀 AP 人 家 要 嘛 SP",
+    "ph_seq": "AP h ao b u h ao m a SP AP q iu SP q iu n i l a SP AP b ai t uo SP b ai t uo SP x ing b u x ing y a AP w o b u g uan m a SP AP n i z ui h ao l a AP w o ai n i y a AP r en j ia y ao m a SP",
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+]

templates/public/07_春江花月夜.ds

@@ -0,0 +1,828 @@
+[
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+        "offset": 19.46849315068493,
+        "text": "SP chun jiang chao shui lian hai ping SP",
+        "ph_seq": "SP ch un j iang ch ao sh ui l ian h ai p ing SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest A2 E3 E3 G3 A3 A3 B3 A3 A3 G3 A3 G3 E3 rest",
+        "note_dur": "0.2575 0.4110 0.4110 0.4110 0.4110 0.8219 0.2055 0.2055 0.4110 1.2329 0.1027 0.1027 0.2055 0.8219 0.1000",
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+        "text": "SP hai shang ming yue gong SP",
+        "ph_seq": "SP h ai sh ang m ing y ve g ong SP",
+        "ph_num": "2 2 2 2 2 1 1",
+        "note_seq": "rest D3 E3 E3 G3 E3 E3 rest",
+        "note_dur": "0.2541 0.4110 0.4110 0.2055 0.2055 0.4110 0.4110 0.1000",
+        "note_slur": "0 0 0 0 1 0 0 0",
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+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+    {
+        "offset": 28.50958904109589,
+        "text": "SP chao sheng SP",
+        "ph_seq": "SP ch ao sh eng SP",
+        "ph_num": "2 2 1 1",
+        "note_seq": "rest A2 E3 rest",
+        "note_dur": "0.2575 0.8219 1.6438 0.1000",
+        "note_slur": "0 0 0 0",
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+        "text": "SP yan yan sui bo qian wan li SP",
+        "ph_seq": "SP y En y En s ui b o q ian w an l i SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest D3 A2 D3 E3 F3 B3 C4 B3 A3 B3 rest",
+        "note_dur": "0.1736 0.4110 0.4110 0.4110 0.4110 0.8219 0.2055 0.6164 1.2329 0.4110 0.6164 0.1000",
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+        "text": "SP he chu chun jiao wu yue SP",
+        "ph_seq": "SP h e ch u ch un j iao w u y ve SP",
+        "ph_num": "2 2 2 2 2 2 1 1",
+        "note_seq": "rest A3 B3 B3 B3 B3 B3 D4 E4 rest",
+        "note_dur": "0.2541 0.2055 0.2055 0.4110 0.4110 0.4110 0.8219 0.2055 0.4110 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 0 1 0",
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+        "gender": null,
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+        "text": "SP ming SP",
+        "ph_seq": "SP m ing SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest B3 rest",
+        "note_dur": "0.2575 1.2329 0.1000",
+        "note_slur": "0 0 0",
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+        "gender": null,
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+        "text": "SP jiang liu wan zhuan rao fang dian SP",
+        "ph_seq": "SP j iang l iu w an zh uan r ao f ang d ian SP",
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+        "note_seq": "rest A3 G3 G3 A3 C4 B3 C4 D4 E4 rest",
+        "note_dur": "0.2336 0.2055 0.2055 0.4110 0.4110 0.4110 0.8219 0.8219 0.2055 1.8493 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 0 0 1 0",
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+        "gender": null,
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+        "offset": 52.423972602739724,
+        "text": "SP yue zhao hua lin jie si xian SP",
+        "ph_seq": "SP y ve zh ao h ua l in j ie s i0 x ian SP",
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+        "note_seq": "rest D4 C4 D4 E4 F4 G4 A4 G#4 E4 rest",
+        "note_dur": "0.1788 0.4110 0.4110 0.4110 0.4110 0.8219 0.2055 0.6164 1.2329 1.2329 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 1 0 1 0",
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+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+        "text": "SP kong li liu shuang bu jue fei SP",
+        "ph_seq": "SP k ong l i l iu sh uang b u j ve f ei SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest D4 A3 D4 E4 F4 A#4 C5 B4 A4 rest",
+        "note_dur": "0.2661 0.4110 0.4110 0.4110 0.4110 0.8219 0.2055 0.6164 1.6438 0.6164 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 1 0 1 0",
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+        "gender": null,
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+        "text": "SP ting shang bai sha kan bu jian SP",
+        "ph_seq": "SP t ing sh ang b ai sh a k an b u j ian SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest A3 B3 B3 B3 C4 D4 E4 D4 D4 E4 F4 E4 rest",
+        "note_dur": "0.2747 0.2055 0.2055 0.4110 0.4110 0.4110 0.2055 0.4110 0.2055 0.4110 0.2055 0.1027 2.5685 0.1000",
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+        "gender": null,
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+        "offset": 72.07465753424658,
+        "text": "SP ha SP",
+        "ph_seq": "SP h a SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest E4 A4 G4 E4 rest",
+        "note_dur": "0.2541 0.4110 0.4110 0.4110 1.4384 0.1000",
+        "note_slur": "0 0 1 1 1 0",
+        "input_type": "phoneme",
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+        "gender": null,
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+        "text": "SP ha SP",
+        "ph_seq": "SP h a SP",
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+        "note_seq": "rest E4 C5 B4 E4 G4 C4 D#4 D4 F4 E4 B3 rest",
+        "note_dur": "0.2541 0.4110 0.4110 0.4110 1.2329 0.4110 0.4110 0.1027 1.1301 0.1027 0.1027 1.0274 0.1000",
+        "note_slur": "0 0 1 1 1 1 1 1 1 1 1 1 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+    {
+        "offset": 81.68082191780822,
+        "text": "SP a SP",
+        "ph_seq": "SP a SP",
+        "ph_num": "1 1 1",
+        "note_seq": "rest C4 D#4 D4 E4 A4 B4 A4 G#4 B4 rest",
+        "note_dur": "0.1000 0.4110 0.1027 0.4110 0.7192 0.2055 0.1027 0.1027 0.7705 0.0514 0.1000",
+        "note_slur": "0 0 1 1 1 1 1 1 1 1 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+    {
+        "offset": 85.22534246575341,
+        "text": "SP ha SP",
+        "ph_seq": "SP h a SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest E4 A4 G4 E4 rest",
+        "note_dur": "0.2541 0.4110 0.4110 0.4110 1.4384 0.1000",
+        "note_slur": "0 0 1 1 1 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
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+    {
+        "offset": 88.51301369863013,
+        "text": "SP ha SP",
+        "ph_seq": "SP h a SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest E4 C5 B4 E4 G4 C4 D#4 D4 E4 B3 rest",
+        "note_dur": "0.2541 0.4110 0.4110 0.4110 1.2329 0.4110 0.4110 0.1027 1.1301 0.2055 1.0274 0.1000",
+        "note_slur": "0 0 1 1 1 1 1 1 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
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+    {
+        "offset": 94.83150684931506,
+        "text": "SP a SP",
+        "ph_seq": "SP a SP",
+        "ph_num": "1 1 1",
+        "note_seq": "rest C4 D4 E4 A4 G#4 B4 rest",
+        "note_dur": "0.1000 0.4110 0.5137 0.7192 0.4110 0.6164 0.8219 0.1000",
+        "note_slur": "0 0 1 1 1 1 1 0",
+        "input_type": "phoneme",
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+        "gender": null,
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+        "offset": 98.39657534246575,
+        "text": "SP jiang tian yi se wu xian chen SP",
+        "ph_seq": "SP j iang t ian y i s e w u x ian ch en SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest A2 E3 E3 G3 A3 B3 A3 A3 G3 A3 G3 E3 rest",
+        "note_dur": "0.2336 0.4110 0.4110 0.4110 0.4110 0.8219 0.4110 0.4110 1.2329 0.1370 0.1370 0.1370 0.8219 0.1000",
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+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+    {
+        "offset": 104.97191780821917,
+        "text": "SP jiao jiao kong zhong gu SP",
+        "ph_seq": "SP j iao j iao k ong zh ong g u SP",
+        "ph_num": "2 2 2 2 2 1 1",
+        "note_seq": "rest D3 E3 G3 E3 E3 rest",
+        "note_dur": "0.2336 0.4110 0.4110 0.4110 0.4110 0.4110 0.1000",
+        "note_slur": "0 0 0 0 0 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+    {
+        "offset": 107.49246575342465,
+        "text": "SP yue lun SP",
+        "ph_seq": "SP y ve l un SP",
+        "ph_num": "2 2 1 1",
+        "note_seq": "rest A2 D3 E3 rest",
+        "note_dur": "0.1788 0.8219 0.2055 0.6164 0.1000",
+        "note_slur": "0 0 0 1 0",
+        "input_type": "phoneme",
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+        "gender": null,
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+        "text": "SP jiang pan he ren chu jian yue SP",
+        "ph_seq": "SP j iang p an h e r en ch u j ian y ve SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest D3 A2 D3 E3 F3 C4 B3 A3 B3 rest",
+        "note_dur": "0.2336 0.4110 0.4110 0.4110 0.4110 0.8219 0.8219 1.2329 0.4110 0.4110 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 0 1 1 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
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+        "offset": 118.12260273972602,
+        "text": "SP jiang yue he nian chu zhao ren SP",
+        "ph_seq": "SP j iang y ve h e n ian ch u zh ao r en SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest A3 B3 B3 B3 B3 B3 D4 E4 B3 B3 rest",
+        "note_dur": "0.2336 0.2055 0.2055 0.4110 0.4110 0.4110 0.8219 0.2055 0.2055 0.4110 1.6438 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 0 1 1 0 0",
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+        "gender": null,
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+        "velocity": null
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+        "offset": 123.90513698630137,
+        "text": "SP ren sheng dai dai wu qiong yi SP",
+        "ph_seq": "SP r en sh eng d ai d ai w u q iong y i SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest D4 E4 D4 C4 C4 C4 B3 A3 A3 rest",
+        "note_dur": "0.2045 0.2055 0.2055 0.4110 0.4110 0.4110 0.4110 0.2055 0.2055 0.4110 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 0 1 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
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+        "offset": 127.16369863013698,
+        "text": "SP jiang yue nian nian wang xiang si SP",
+        "ph_seq": "SP j iang y ve n ian n ian w ang x iang s i0 SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest B3 C4 C4 E4 E4 E4 D4 B3 rest",
+        "note_dur": "0.2336 0.4110 0.4110 0.2055 0.2055 0.4110 0.4110 0.4110 0.8219 0.1000",
+        "note_slur": "0 0 0 0 1 0 0 0 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+        "offset": 131.29383561643837,
+        "text": "SP bu zhi jiang yue nai he ren SP",
+        "ph_seq": "SP b u zh ir j iang y ve n ai h e r en SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest B3 C4 C4 C4 B3 A3 G3 F3 rest",
+        "note_dur": "0.2130 0.1027 0.1027 0.6164 0.4110 0.4110 0.4110 0.2055 0.2055 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+        "offset": 134.17226027397263,
+        "text": "SP dan jian chang jiang song liu shui SP",
+        "ph_seq": "SP d an j ian ch ang j iang s ong l iu sh ui SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest F3 G3 F3 G3 A3 A3 C4 B3 rest",
+        "note_dur": "0.2113 0.2055 0.2055 0.4110 0.4110 0.4110 0.2055 0.2055 1.0274 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 1 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
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+        "velocity": null
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+        "text": "SP bai yun yi pian qu you you SP",
+        "ph_seq": "SP b ai y vn y i p ian q v y ou y ou SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest E4 G4 A4 G4 E4 D4 C4 D4 rest",
+        "note_dur": "0.2130 0.4110 0.2055 0.2055 0.4110 0.4110 0.4110 0.2055 0.6164 0.1000",
+        "note_slur": "0 0 0 1 0 0 0 0 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+        "text": "SP qing feng pu shang bu sheng chou SP",
+        "ph_seq": "SP q ing f eng p u sh ang b u sh eng ch ou SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest C4 A3 A3 C4 D4 E4 G4 E4 rest",
+        "note_dur": "0.2695 0.2055 0.2055 0.4110 0.4110 0.4110 0.4110 0.2055 0.8219 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 0 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
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+        "text": "SP shei jia jin ye pian zhou zi SP",
+        "ph_seq": "SP sh ei j ia j in y E p ian zh ou z i0 SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest D4 C4 D4 E4 F4 E4 D4 D4 rest",
+        "note_dur": "0.2884 0.4110 0.4110 0.4110 0.4110 0.4110 0.1027 0.1027 0.4110 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 1 0 0",
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+        "gender": null,
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+        "text": "SP he chu xiang si ming yue SP",
+        "ph_seq": "SP h e ch u x iang s i0 m ing y ve SP",
+        "ph_num": "2 2 2 2 2 2 1 1",
+        "note_seq": "rest F4 F4 E4 E4 G#4 A4 rest",
+        "note_dur": "0.2541 0.2055 0.2055 0.4110 0.4110 0.4110 0.2055 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+        "offset": 149.3640410958904,
+        "text": "SP lou SP",
+        "ph_seq": "SP l ou SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest E4 rest",
+        "note_dur": "0.2250 1.0274 0.1000",
+        "note_slur": "0 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
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+        "text": "SP ke lian lou shang SP",
+        "ph_seq": "SP k e l ian l ou sh ang SP",
+        "ph_num": "2 2 2 2 1 1",
+        "note_seq": "rest B4 B4 A4 A4 rest",
+        "note_dur": "0.2661 0.2055 0.2055 0.2055 0.3082 0.1000",
+        "note_slur": "0 0 0 0 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
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+        "offset": 152.28698630136984,
+        "text": "SP yue pai huai SP",
+        "ph_seq": "SP y ve p ai h uai SP",
+        "ph_num": "2 2 2 1 1",
+        "note_seq": "rest E4 D4 D4 rest",
+        "note_dur": "0.1788 0.2055 0.2055 0.3082 0.1000",
+        "note_slur": "0 0 0 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
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+    {
+        "offset": 153.99246575342465,
+        "text": "SP ying zhao li ren SP",
+        "ph_seq": "SP y ing zh ao l i r en SP",
+        "ph_num": "2 2 2 2 1 1",
+        "note_seq": "rest D4 C4 C4 D4 D4 rest",
+        "note_dur": "0.1171 0.2055 0.2055 0.2055 0.2055 0.4110 0.1000",
+        "note_slur": "0 0 0 0 1 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+        "offset": 155.53184931506848,
+        "text": "SP zhuang jing tai SP",
+        "ph_seq": "SP zh uang j ing t ai SP",
+        "ph_num": "2 2 2 1 1",
+        "note_seq": "rest D4 C4 A3 rest",
+        "note_dur": "0.2216 0.2055 0.2055 0.3082 0.1000",
+        "note_slur": "0 0 0 0 0",
+        "input_type": "phoneme",
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+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+    {
+        "offset": 157.28013698630136,
+        "text": "SP yu hu lian zhong SP",
+        "ph_seq": "SP y v h u l ian zh ong SP",
+        "ph_num": "2 2 2 2 1 1",
+        "note_seq": "rest A3 C4 C4 D4 D4 rest",
+        "note_dur": "0.1171 0.2055 0.2055 0.2055 0.2055 0.2055 0.1000",
+        "note_slur": "0 0 0 0 1 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
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+        "offset": 158.39657534246575,
+        "text": "SP juan SP",
+        "ph_seq": "SP j van SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest D4 rest",
+        "note_dur": "0.2336 0.2055 0.1000",
+        "note_slur": "0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 158.82808219178082,
+        "text": "SP bu SP",
+        "ph_seq": "SP b u SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest E4 rest",
+        "note_dur": "0.2130 0.2055 0.1000",
+        "note_slur": "0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 159.18253424657536,
+        "text": "SP qu SP",
+        "ph_seq": "SP q v SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest F4 rest",
+        "note_dur": "0.2695 0.4110 0.1000",
+        "note_slur": "0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 160.4736301369863,
+        "text": "SP da yi zhen shang fu huan lai SP",
+        "ph_seq": "SP d a y i zh en sh ang f u h uan l ai SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest E4 D4 E4 E4 G#4 A4 E4 E4 rest",
+        "note_dur": "0.2113 0.2055 0.2055 0.4110 0.4110 0.4110 0.2055 0.2055 0.8219 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 1 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 164.0986301369863,
+        "text": "SP si shi xiang wang bu xiang wen SP",
+        "ph_seq": "SP s i0 sh ir x iang w ang b u x iang w en SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest E4 G4 A4 G4 E4 E4 D4 C4 C4 C4 D4 rest",
+        "note_dur": "0.2849 0.4110 0.2055 0.2055 0.2055 0.2055 0.4110 0.2055 0.2055 0.2055 0.2055 0.4110 0.1000",
+        "note_slur": "0 0 0 1 0 1 0 0 1 0 0 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 167.49246575342465,
+        "text": "SP yuan zhu yuan hua liu zhao jun SP",
+        "ph_seq": "SP y van zh u y van h ua l iu zh ao j vn SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest C4 A3 C4 D4 E4 G4 E4 rest",
+        "note_dur": "0.1788 0.4110 0.4110 0.4110 0.4110 0.4110 0.2055 0.4110 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 170.70479452054792,
+        "text": "SP hong yan chang fei guang bu du SP",
+        "ph_seq": "SP h ong y En ch ang f ei g uang b u d u SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest D4 C4 C4 D4 E4 F4 E4 D4 rest",
+        "note_dur": "0.2541 0.2055 0.2055 0.4110 0.4110 0.4110 0.4110 0.2055 0.4110 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 173.71849315068494,
+        "text": "SP yu long qian yue shui cheng wen SP",
+        "ph_seq": "SP y v l ong q ian y ve sh ui ch eng w en SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest E4 F4 F4 E4 E4 G#4 A4 E4 E4 rest",
+        "note_dur": "0.1171 0.1027 0.1027 0.2055 0.4110 0.4110 0.4110 0.2055 0.2055 1.0274 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 0 1 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 177.30239726027398,
+        "text": "SP zuo ye xian tan meng luo hua SP",
+        "ph_seq": "SP z uo y E x ian t an m eng l uo h ua SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest G4 A4 A4 G4 G4 F4 E4 E4 F4 rest",
+        "note_dur": "0.2318 0.2055 0.2055 0.4110 0.4110 0.4110 0.2055 0.1027 0.3082 0.4110 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 1 0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 180.14486301369863,
+        "text": "SP ke lian chun ban bu huan jia SP",
+        "ph_seq": "SP k e l ian ch un b an b u h uan j ia SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest F4 F4 E4 E4 E4 D4 E4 rest",
+        "note_dur": "0.2661 0.2055 0.2055 0.4110 0.4110 0.4110 0.4110 0.8219 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 183.46506849315068,
+        "text": "SP jiang shui liu chun qu yu jin SP",
+        "ph_seq": "SP j iang sh ui l iu ch un q v y v j in SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest B3 C4 C4 B3 B3 B3 C4 D4 rest",
+        "note_dur": "0.2336 0.1027 0.1027 0.2055 0.4110 0.4110 0.4110 0.2055 0.8219 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 186.7527397260274,
+        "text": "SP jiang tan luo yue fu xi xia SP",
+        "ph_seq": "SP j iang t an l uo y ve f u x i x ia SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest E4 D4 E4 E4 G#4 A4 E4 rest",
+        "note_dur": "0.2336 0.2055 0.2055 0.4110 0.4110 0.4110 0.2055 1.4384 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 190.4308219178082,
+        "text": "SP ha SP",
+        "ph_seq": "SP h a SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest E4 A4 G4 E4 rest",
+        "note_dur": "0.2541 0.4110 0.4110 0.4110 1.6438 0.1000",
+        "note_slur": "0 0 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 193.71849315068494,
+        "text": "SP ha SP",
+        "ph_seq": "SP h a SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest E4 C5 B4 E4 rest",
+        "note_dur": "0.2541 0.4110 0.4110 0.4110 0.8219 0.1000",
+        "note_slur": "0 0 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 196.18424657534246,
+        "text": "SP ha SP",
+        "ph_seq": "SP h a SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest G4 C4 D#4 D4 F4 E4 B3 rest",
+        "note_dur": "0.2541 0.4110 0.4110 0.1027 1.1301 0.1027 0.2055 0.9247 0.1000",
+        "note_slur": "0 0 1 1 1 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 200.03698630136984,
+        "text": "SP a SP",
+        "ph_seq": "SP a SP",
+        "ph_num": "1 1 1",
+        "note_seq": "rest C4 D#4 D4 E4 A4 G#4 B4 rest",
+        "note_dur": "0.1000 0.4110 0.1027 0.3082 0.8219 0.4110 0.4110 0.9247 0.1000",
+        "note_slur": "0 0 1 1 1 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 203.58150684931508,
+        "text": "SP ha SP",
+        "ph_seq": "SP h a SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest E4 A4 G4 E4 rest",
+        "note_dur": "0.2541 0.4110 0.4110 0.4110 1.6438 0.1000",
+        "note_slur": "0 0 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 206.86917808219175,
+        "text": "SP ha SP",
+        "ph_seq": "SP h a SP",
+        "ph_num": "2 1 1",
+        "note_seq": "rest E4 C5 B4 E4 G4 C4 D#4 D4 rest",
+        "note_dur": "0.2541 0.4110 0.4110 0.4110 1.2329 0.4110 0.4110 0.1027 1.1301 0.1000",
+        "note_slur": "0 0 1 1 1 1 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 211.74931506849313,
+        "text": "SP a SP",
+        "ph_seq": "SP a SP",
+        "ph_num": "1 1 1",
+        "note_seq": "rest B3 rest",
+        "note_dur": "0.1000 1.0274 0.1000",
+        "note_slur": "0 0 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 213.1876712328767,
+        "text": "SP a SP",
+        "ph_seq": "SP a SP",
+        "ph_num": "1 1 1",
+        "note_seq": "rest C4 D#4 D4 F4 E4 A4 G#4 B4 rest",
+        "note_dur": "0.1000 0.4110 0.1027 0.5137 0.1027 0.5137 0.4110 0.4110 1.8493 0.1000",
+        "note_slur": "0 0 1 1 1 1 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 219.1585616438356,
+        "text": "SP xie yue chen chen cang hai wu SP",
+        "ph_seq": "SP x ie y ve ch en ch en c ang h ai w u SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest A3 E4 E4 G4 A4 A4 B4 A4 A4 G4 A4 G4 E4 rest",
+        "note_dur": "0.2935 0.4110 0.4110 0.4110 0.4110 0.8219 0.2055 0.2055 0.4110 1.2329 0.1027 0.1027 0.2055 1.0274 0.1000",
+        "note_slur": "0 0 0 0 0 0 0 1 1 0 1 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 225.79383561643837,
+        "text": "SP jie shi xiao xiang wu xian lu SP",
+        "ph_seq": "SP j ie sh ir x iao x iang w u x ian l u SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest D4 E4 G4 E4 D4 E4 A3 D4 E4 D4 E4 D4 B3 rest",
+        "note_dur": "0.2336 0.4110 0.4110 0.4110 0.4110 0.2055 0.6164 0.4110 0.2055 1.4384 0.1027 0.1027 0.2055 1.0274 0.1000",
+        "note_slur": "0 0 0 0 0 0 1 0 0 1 1 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 232.38972602739727,
+        "text": "SP bu zhi cheng yue ji ren gui SP",
+        "ph_seq": "SP b u zh ir ch eng y ve j i r en g ui SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest D4 A3 A3 C#4 D4 E4 F4 A4 C5 B4 A4 B4 A4 rest",
+        "note_dur": "0.2130 0.2055 0.2055 0.4110 0.2055 0.2055 0.4110 0.8219 0.2055 0.6164 1.2329 0.1027 0.1027 0.8219 0.1000",
+        "note_slur": "0 0 1 0 0 1 0 0 0 1 0 1 1 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    },
+    {
+        "offset": 238.95308219178082,
+        "text": "SP luo yue yao qing man jiang shu SP",
+        "ph_seq": "SP l uo y ve y ao q ing m an j iang sh u SP",
+        "ph_num": "2 2 2 2 2 2 2 1 1",
+        "note_seq": "rest A4 B4 B4 B4 B4 B4 C5 D5 E5 rest",
+        "note_dur": "0.2250 0.2055 0.2055 0.4110 0.4110 1.2329 0.4110 0.4110 0.2055 6.3699 0.1000",
+        "note_slur": "0 0 1 0 0 0 0 0 0 1 0",
+        "input_type": "phoneme",
+        "gender_timestep": null,
+        "gender": null,
+        "velocity_timestep": null,
+        "velocity": null
+    }
+]

templates/public/credits.txt

@@ -0,0 +1,42 @@
+## 00_我多想说再见啊
+
+MIDI: 班超BanC
+Pitch reference: Synthesizer V AI Mai
+Tuning: 飞弦p https://space.bilibili.com/5347090; YQ之神 https://space.bilibili.com/102844209
+
+
+## 01_逍遥仙
+
+Tuning: 赤松_Akamatsu https://space.bilibili.com/29902857; YQ之神 https://space.bilibili.com/102844209
+
+
+## 02_一半一半
+
+Tuning: 笛鹿FlutyDeer https://space.bilibili.com/386270936
+
+
+## 03_撒娇八连
+
+Pitch reference: 瑶摆桃桃烤地瓜 https://space.bilibili.com/23346333
+
+
+## 04_仙瑶
+
+Tuning: 笛鹿FlutyDeer https://space.bilibili.com/386270936
+
+
+## 05_恋人心
+
+Tuning: 笛鹿FlutyDeer https://space.bilibili.com/386270936
+
+
+## 06_不谓侠
+
+MIDI: 帝国妖月
+Tuning: ZhiBinShyu with PitchDiffusion https://www.bilibili.com/video/BV12T411t7Qg
+
+
+## 07_春江花月夜
+
+Source: https://www.vsqx.top/project/vn8437
+MIDI: 何念生 https://www.vsqx.top/space/2960

templates/user/README.md

@@ -0,0 +1,7 @@
+# 用户模板目录
+
+用户上传的 ds 模板会存放在此处。如果与 `templates/public/` 同名，则以此目录下的模板为准。
+
+建议：
+- 模板文件名与 BGM 文件名同名（扩展名不同），例如 `song.ds` 与 `song.mp3`，以启用自动混音。
+- ds 文件内容为一个列表（list），每个元素是包含至少 `text` 字段的字典；若需要按 BGM 对齐，请提供 `offset`（单位：秒）。