564 lines
23 KiB
Python
564 lines
23 KiB
Python
"""Main application window — dark theme, mode selector, staged/sequential pipelines."""
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from __future__ import annotations
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import shutil
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from pathlib import Path
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from typing import Optional
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from PySide6.QtCore import Qt, QUrl
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from PySide6.QtGui import QColor, QDesktopServices
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from PySide6.QtWidgets import (
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QCheckBox, QComboBox, QDoubleSpinBox, QFileDialog, QFormLayout, QGroupBox,
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QHBoxLayout, QLabel, QLineEdit, QMainWindow, QMessageBox,
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QPlainTextEdit, QProgressBar, QPushButton, QSpinBox, QTabWidget,
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QVBoxLayout, QWidget,
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)
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from core.config import (
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ConvertConfig, LyricsConfig, PipelineConfig, SeparateConfig,
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ShazamConfig, TranscribeConfig,
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)
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from gui.worker import PipelineWorker
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LANGUAGES = ["auto", "ru", "en", "de", "fr", "es", "it", "uk", "ja", "zh", "ko"]
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SAMPLE_RATES = [16000, 22050, 44100, 48000]
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ENGINES = ["whisperx", "gigaam"]
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STAGE_LABELS = {
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"file": "Файлы",
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"identify": "Идентификация",
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"convert": "Конвертация",
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"separate": "Отделение",
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"transcribe": "Транскрибация",
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}
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MODE_LABELS = {
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"sequential": "Последовательно (файл за файлом)",
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"staged": "Пакетно (по этапам)",
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}
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def _detect_device_info() -> tuple[str, str]:
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try:
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import torch
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except ImportError:
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return "⚠ PyTorch не установлен", "#f38ba8"
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if torch.cuda.is_available():
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try:
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name = torch.cuda.get_device_name(0)
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vram = torch.cuda.get_device_properties(0).total_memory / (1024 ** 3)
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return f"✓ CUDA: {name} · {vram:.1f} GB VRAM", "#a6e3a1"
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except Exception: # noqa: BLE001
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return "✓ CUDA доступна", "#a6e3a1"
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return "⚠ CUDA не обнаружена — расчёт пойдёт на CPU (медленно)", "#f9e2af"
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class MainWindow(QMainWindow):
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def __init__(self) -> None:
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super().__init__()
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self.setWindowTitle("Song Transcriber")
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self.resize(1140, 880)
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self._worker: Optional[PipelineWorker] = None
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self._build_ui()
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self._apply_defaults()
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self._sync_tab_indicators()
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self._sync_engine_fields()
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self._log_device_info()
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# ---------------- UI ----------------
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def _build_ui(self) -> None:
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central = QWidget()
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self.setCentralWidget(central)
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root = QVBoxLayout(central)
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root.setContentsMargins(18, 16, 18, 16)
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root.setSpacing(12)
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header = QHBoxLayout()
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title = QLabel("🎵 Song Transcriber")
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title.setObjectName("appTitle")
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header.addWidget(title)
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header.addStretch(1)
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self.device_label = QLabel("")
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self.device_label.setObjectName("deviceInfo")
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header.addWidget(self.device_label)
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root.addLayout(header)
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top_box = QGroupBox("Общие настройки")
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top_layout = QFormLayout(top_box)
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top_layout.setSpacing(10)
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self.input_edit = QLineEdit()
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top_layout.addRow("Входная папка:", self._with_browse(self.input_edit, self._pick_input_dir))
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self.output_edit = QLineEdit()
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top_layout.addRow("Выходная папка:", self._with_browse(self.output_edit, self._pick_output_dir))
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self.mode_cb = QComboBox()
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for key, label in MODE_LABELS.items():
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self.mode_cb.addItem(label, key)
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top_layout.addRow("Режим:", self.mode_cb)
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opts = QHBoxLayout()
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self.recursive_cb = QCheckBox("Рекурсивный обход")
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self.keep_intermediate_cb = QCheckBox("Сохранять промежуточные")
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self.overwrite_cb = QCheckBox("Перезаписывать")
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opts.addWidget(self.recursive_cb)
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opts.addWidget(self.keep_intermediate_cb)
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opts.addWidget(self.overwrite_cb)
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opts.addStretch(1)
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top_layout.addRow("Опции:", opts)
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root.addWidget(top_box)
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self.tabs = QTabWidget()
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self.tabs.addTab(self._build_shazam_tab(), "Shazam")
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self.tabs.addTab(self._build_lrclib_tab(), "LRCLIB")
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self.tabs.addTab(self._build_convert_tab(), "Конвертация")
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self.tabs.addTab(self._build_separate_tab(), "Отделение вокала")
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self.tabs.addTab(self._build_transcribe_tab(), "Транскрибация")
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root.addWidget(self.tabs)
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self.shazam_enabled_cb.toggled.connect(self._sync_tab_indicators)
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self.lyrics_enabled_cb.toggled.connect(self._sync_tab_indicators)
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self.convert_enabled_cb.toggled.connect(self._sync_tab_indicators)
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self.separate_enabled_cb.toggled.connect(self._sync_tab_indicators)
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self.transcribe_enabled_cb.toggled.connect(self._sync_tab_indicators)
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self.engine_cb.currentTextChanged.connect(self._sync_engine_fields)
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row = QHBoxLayout()
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row.setSpacing(10)
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self.start_btn = QPushButton("▶ Запустить")
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self.start_btn.setObjectName("primary")
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self.start_btn.clicked.connect(self._on_start)
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self.stop_btn = QPushButton("⏹ Стоп")
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self.stop_btn.setObjectName("danger")
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self.stop_btn.setEnabled(False)
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self.stop_btn.clicked.connect(self._on_stop)
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self.open_out_btn = QPushButton("📂 Открыть результат")
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self.open_out_btn.clicked.connect(self._open_output_dir)
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self.save_preset_btn = QPushButton("💾 Сохранить пресет")
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self.save_preset_btn.clicked.connect(self._save_preset)
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self.load_preset_btn = QPushButton("📁 Загрузить пресет")
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self.load_preset_btn.clicked.connect(self._load_preset)
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row.addWidget(self.start_btn)
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row.addWidget(self.stop_btn)
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row.addStretch(1)
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row.addWidget(self.open_out_btn)
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row.addWidget(self.save_preset_btn)
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row.addWidget(self.load_preset_btn)
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root.addLayout(row)
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self.progress = QProgressBar()
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self.progress.setFormat("Ожидание")
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root.addWidget(self.progress)
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self.log_view = QPlainTextEdit()
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self.log_view.setObjectName("log")
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self.log_view.setReadOnly(True)
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self.log_view.setPlaceholderText("Здесь появится лог выполнения…")
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root.addWidget(self.log_view, 1)
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def _with_browse(self, edit: QLineEdit, picker) -> QWidget:
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w = QWidget()
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h = QHBoxLayout(w)
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h.setContentsMargins(0, 0, 0, 0)
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h.setSpacing(6)
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h.addWidget(edit)
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btn = QPushButton("…")
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btn.setFixedWidth(36)
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btn.clicked.connect(picker)
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h.addWidget(btn)
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return w
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def _build_shazam_tab(self) -> QWidget:
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w = QWidget()
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form = QFormLayout(w)
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form.setContentsMargins(16, 16, 16, 16)
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form.setSpacing(10)
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self.shazam_enabled_cb = QCheckBox("Включён")
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form.addRow("", self.shazam_enabled_cb)
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info = QLabel(
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"Идентификация трека через Shazam (unofficial API).\n"
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"При совпадении сохраняются метаданные и (если возможно) текст из LRCLIB.\n"
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"Требует ffmpeg (для конвертации в 16 кГц моно)."
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)
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info.setWordWrap(True)
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info.setStyleSheet("color: #a6adc8;")
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form.addRow(info)
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return w
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def _build_lrclib_tab(self) -> QWidget:
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w = QWidget()
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form = QFormLayout(w)
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form.setContentsMargins(16, 16, 16, 16)
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form.setSpacing(10)
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self.lyrics_enabled_cb = QCheckBox("Включён")
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form.addRow("", self.lyrics_enabled_cb)
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self.lyrics_user_agent = QLineEdit()
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form.addRow("User-Agent:", self.lyrics_user_agent)
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self.lyrics_use_tags_cb = QCheckBox("Искать по тегам (artist + title)")
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form.addRow("", self.lyrics_use_tags_cb)
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self.lyrics_use_shazam_cb = QCheckBox("Искать по результату Shazam")
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form.addRow("", self.lyrics_use_shazam_cb)
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self.lyrics_after_asr_cb = QCheckBox("Проверять после ASR (fuzzy-match)")
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form.addRow("", self.lyrics_after_asr_cb)
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self.lyrics_transcribe_unresolved_cb = QCheckBox(
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"Запускать ASR, если Shazam опознал, но текста нет"
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)
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form.addRow("", self.lyrics_transcribe_unresolved_cb)
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self.lyrics_threshold = QDoubleSpinBox()
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self.lyrics_threshold.setRange(0.0, 1.0)
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self.lyrics_threshold.setSingleStep(0.05)
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self.lyrics_threshold.setDecimals(2)
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self.lyrics_threshold.setToolTip(
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"Насколько должен совпасть распознанный ASR-текст с текстом из LRCLIB,\n"
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"чтобы считать это тем же треком. 1.0 = точное совпадение, 0.0 = любое."
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)
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form.addRow("Порог fuzzy:", self.lyrics_threshold)
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return w
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def _build_convert_tab(self) -> QWidget:
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w = QWidget()
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form = QFormLayout(w)
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form.setContentsMargins(16, 16, 16, 16)
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form.setSpacing(10)
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self.convert_enabled_cb = QCheckBox("Включён")
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form.addRow("", self.convert_enabled_cb)
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self.convert_sr = QComboBox()
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for sr in SAMPLE_RATES:
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self.convert_sr.addItem(f"{sr} Hz", sr)
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form.addRow("Sample rate:", self.convert_sr)
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self.convert_ch = QComboBox()
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self.convert_ch.addItem("Моно", 1)
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self.convert_ch.addItem("Стерео", 2)
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form.addRow("Каналы:", self.convert_ch)
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self.convert_ffmpeg = QLineEdit()
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form.addRow("ffmpeg:", self.convert_ffmpeg)
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return w
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def _build_separate_tab(self) -> QWidget:
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w = QWidget()
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form = QFormLayout(w)
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form.setContentsMargins(16, 16, 16, 16)
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form.setSpacing(10)
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self.separate_enabled_cb = QCheckBox("Включён")
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form.addRow("", self.separate_enabled_cb)
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self.separate_model = QLineEdit()
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form.addRow("Модель:", self.separate_model)
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self.separate_stem = QLineEdit()
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form.addRow("Isolate stem:", self.separate_stem)
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self.separate_unblend = QLineEdit()
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form.addRow("unblend CLI:", self.separate_unblend)
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self.separate_kernels_cb = QCheckBox("Использовать кастомные ядра")
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form.addRow("", self.separate_kernels_cb)
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return w
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def _build_transcribe_tab(self) -> QWidget:
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w = QWidget()
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form = QFormLayout(w)
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form.setContentsMargins(16, 16, 16, 16)
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form.setSpacing(10)
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self.transcribe_enabled_cb = QCheckBox("Включён")
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form.addRow("", self.transcribe_enabled_cb)
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self.engine_cb = QComboBox()
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self.engine_cb.addItems(ENGINES)
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form.addRow("Движок:", self.engine_cb)
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self.model_edit = QLineEdit()
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form.addRow("Модель:", self.model_edit)
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self.lang_cb = QComboBox()
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self.lang_cb.setEditable(True)
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self.lang_cb.addItems(LANGUAGES)
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self.lang_cb.setToolTip(
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"'auto' — WhisperX определяет язык на каждом файле.\n"
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"Если знаешь язык — выбери его явно, будет быстрее."
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)
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form.addRow("Язык:", self.lang_cb)
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self.device_cb = QComboBox()
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self.device_cb.addItems(["auto", "cuda", "cpu"])
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form.addRow("Device:", self.device_cb)
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self.compute_type_cb = QComboBox()
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self.compute_type_cb.addItems(["auto", "int8_float16", "int8", "float16", "float32"])
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form.addRow("Compute type:", self.compute_type_cb)
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self.batch_spin = QSpinBox()
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self.batch_spin.setRange(1, 512)
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self.batch_spin.setToolTip(
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"Размер батча сегментов ВНУТРИ одного файла (не файлов!).\n"
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"8–16 для 8 ГБ VRAM, 32–64 для 24 ГБ."
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)
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form.addRow("Batch size:", self.batch_spin)
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self.gigaam_provider_cb = QComboBox()
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self.gigaam_provider_cb.addItems(["auto", "cuda", "cpu"])
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form.addRow("GigaAM provider:", self.gigaam_provider_cb)
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self.local_files_only_cb = QCheckBox("Не проверять HuggingFace (offline)")
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self.local_files_only_cb.setToolTip(
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"Если модель уже скачана — включите, чтобы не ждать сетевую проверку."
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)
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form.addRow("", self.local_files_only_cb)
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return w
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# ---------------- visual sync ----------------
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def _log_device_info(self) -> None:
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text, color = _detect_device_info()
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self.device_label.setText(text)
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self.device_label.setStyleSheet(f"color: {color};")
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self._append_log(text)
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def _sync_tab_indicators(self) -> None:
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active = QColor("#89b4fa")
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inactive = QColor("#585b70")
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bar = self.tabs.tabBar()
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bar.setTabTextColor(0, active if self.shazam_enabled_cb.isChecked() else inactive)
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bar.setTabTextColor(1, active if self.lyrics_enabled_cb.isChecked() else inactive)
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bar.setTabTextColor(2, active if self.convert_enabled_cb.isChecked() else inactive)
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bar.setTabTextColor(3, active if self.separate_enabled_cb.isChecked() else inactive)
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bar.setTabTextColor(4, active if self.transcribe_enabled_cb.isChecked() else inactive)
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def _sync_engine_fields(self) -> None:
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is_whisperx = self.engine_cb.currentText() == "whisperx"
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for w in (self.lang_cb, self.device_cb, self.compute_type_cb, self.batch_spin):
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w.setEnabled(is_whisperx)
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self.gigaam_provider_cb.setEnabled(not is_whisperx)
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# ---------------- defaults & config <-> UI ----------------
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def _apply_defaults(self) -> None:
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self._apply_config(PipelineConfig())
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def _apply_config(self, cfg: PipelineConfig) -> None:
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self.input_edit.setText(cfg.input_dir)
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self.output_edit.setText(str(Path(cfg.output_dir).absolute()))
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self.recursive_cb.setChecked(cfg.recursive)
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self.keep_intermediate_cb.setChecked(cfg.keep_intermediate)
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self.overwrite_cb.setChecked(cfg.overwrite)
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i = self.mode_cb.findData(cfg.mode)
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if i >= 0:
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self.mode_cb.setCurrentIndex(i)
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self.shazam_enabled_cb.setChecked(cfg.shazam.enabled)
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self.lyrics_enabled_cb.setChecked(cfg.lyrics.enabled)
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self.lyrics_user_agent.setText(cfg.lyrics.user_agent)
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self.lyrics_use_tags_cb.setChecked(cfg.lyrics.use_tags_first)
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self.lyrics_use_shazam_cb.setChecked(cfg.lyrics.use_shazam_result)
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self.lyrics_after_asr_cb.setChecked(cfg.lyrics.try_after_asr)
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self.lyrics_transcribe_unresolved_cb.setChecked(
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cfg.lyrics.transcribe_if_identified_no_lyrics
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)
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self.lyrics_threshold.setValue(cfg.lyrics.fuzzy_threshold)
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self.convert_enabled_cb.setChecked(cfg.convert.enabled)
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i = self.convert_sr.findData(cfg.convert.sample_rate)
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if i >= 0:
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self.convert_sr.setCurrentIndex(i)
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i = self.convert_ch.findData(cfg.convert.channels)
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if i >= 0:
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self.convert_ch.setCurrentIndex(i)
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self.convert_ffmpeg.setText(cfg.convert.ffmpeg_path)
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self.separate_enabled_cb.setChecked(cfg.separate.enabled)
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self.separate_model.setText(cfg.separate.model)
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self.separate_stem.setText(cfg.separate.isolate_stem)
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self.separate_unblend.setText(cfg.separate.unblend_path)
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self.separate_kernels_cb.setChecked(cfg.separate.custom_kernels)
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self.transcribe_enabled_cb.setChecked(cfg.transcribe.enabled)
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self.engine_cb.setCurrentText(cfg.transcribe.engine)
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self.model_edit.setText(cfg.transcribe.model)
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self.lang_cb.setCurrentText(cfg.transcribe.language or "auto")
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self.device_cb.setCurrentText(cfg.transcribe.device)
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self.compute_type_cb.setCurrentText(cfg.transcribe.compute_type or "auto")
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self.batch_spin.setValue(cfg.transcribe.batch_size)
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self.gigaam_provider_cb.setCurrentText(cfg.transcribe.gigaam_provider)
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self.local_files_only_cb.setChecked(cfg.transcribe.local_files_only)
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def _collect_config(self) -> PipelineConfig:
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cfg = PipelineConfig()
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cfg.input_dir = self.input_edit.text().strip()
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cfg.output_dir = self.output_edit.text().strip() or "transcribed"
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cfg.recursive = self.recursive_cb.isChecked()
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cfg.keep_intermediate = self.keep_intermediate_cb.isChecked()
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cfg.overwrite = self.overwrite_cb.isChecked()
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cfg.mode = self.mode_cb.currentData()
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cfg.shazam = ShazamConfig(enabled=self.shazam_enabled_cb.isChecked())
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cfg.lyrics = LyricsConfig(
|
||
enabled=self.lyrics_enabled_cb.isChecked(),
|
||
user_agent=self.lyrics_user_agent.text().strip() or "audio-transcriber/1.0",
|
||
use_tags_first=self.lyrics_use_tags_cb.isChecked(),
|
||
use_shazam_result=self.lyrics_use_shazam_cb.isChecked(),
|
||
try_after_asr=self.lyrics_after_asr_cb.isChecked(),
|
||
transcribe_if_identified_no_lyrics=self.lyrics_transcribe_unresolved_cb.isChecked(),
|
||
fuzzy_threshold=float(self.lyrics_threshold.value()),
|
||
)
|
||
|
||
cfg.convert = ConvertConfig(
|
||
enabled=self.convert_enabled_cb.isChecked(),
|
||
sample_rate=int(self.convert_sr.currentData()),
|
||
channels=int(self.convert_ch.currentData()),
|
||
ffmpeg_path=self.convert_ffmpeg.text().strip() or "ffmpeg",
|
||
)
|
||
cfg.separate = SeparateConfig(
|
||
enabled=self.separate_enabled_cb.isChecked(),
|
||
model=self.separate_model.text().strip(),
|
||
isolate_stem=self.separate_stem.text().strip() or "vocals",
|
||
unblend_path=self.separate_unblend.text().strip() or "unblend",
|
||
custom_kernels=self.separate_kernels_cb.isChecked(),
|
||
)
|
||
|
||
lang = self.lang_cb.currentText().strip()
|
||
compute = self.compute_type_cb.currentText().strip()
|
||
cfg.transcribe = TranscribeConfig(
|
||
enabled=self.transcribe_enabled_cb.isChecked(),
|
||
engine=self.engine_cb.currentText(),
|
||
model=self.model_edit.text().strip() or "large-v3",
|
||
language=None if lang in ("", "auto") else lang,
|
||
device=self.device_cb.currentText(),
|
||
compute_type=None if compute == "auto" else compute,
|
||
batch_size=self.batch_spin.value(),
|
||
gigaam_provider=self.gigaam_provider_cb.currentText(),
|
||
local_files_only=self.local_files_only_cb.isChecked(),
|
||
)
|
||
return cfg
|
||
|
||
# ---------------- handlers ----------------
|
||
|
||
def _pick_input_dir(self) -> None:
|
||
d = QFileDialog.getExistingDirectory(self, "Выберите входную папку")
|
||
if d:
|
||
self.input_edit.setText(d)
|
||
|
||
def _pick_output_dir(self) -> None:
|
||
d = QFileDialog.getExistingDirectory(self, "Выберите выходную папку")
|
||
if d:
|
||
self.output_edit.setText(d)
|
||
|
||
def _open_output_dir(self) -> None:
|
||
p = Path(self.output_edit.text().strip() or "transcribed").absolute()
|
||
p.mkdir(parents=True, exist_ok=True)
|
||
QDesktopServices.openUrl(QUrl.fromLocalFile(str(p)))
|
||
|
||
def _save_preset(self) -> None:
|
||
path, _ = QFileDialog.getSaveFileName(self, "Сохранить пресет", "preset.json", "JSON (*.json)")
|
||
if not path:
|
||
return
|
||
try:
|
||
self._collect_config().save(Path(path))
|
||
except Exception as exc: # noqa: BLE001
|
||
QMessageBox.critical(self, "Ошибка", str(exc))
|
||
|
||
def _load_preset(self) -> None:
|
||
path, _ = QFileDialog.getOpenFileName(self, "Загрузить пресет", "", "JSON (*.json)")
|
||
if not path:
|
||
return
|
||
try:
|
||
self._apply_config(PipelineConfig.load(Path(path)))
|
||
except Exception as exc: # noqa: BLE001
|
||
QMessageBox.critical(self, "Ошибка", str(exc))
|
||
|
||
def _on_start(self) -> None:
|
||
cfg = self._collect_config()
|
||
if not cfg.input_dir or not Path(cfg.input_dir).is_dir():
|
||
QMessageBox.warning(self, "Нет входной папки", "Выберите существующую входную папку.")
|
||
return
|
||
has_work = any([
|
||
cfg.shazam.enabled, cfg.lyrics.enabled,
|
||
cfg.convert.enabled, cfg.separate.enabled, cfg.transcribe.enabled,
|
||
])
|
||
if not has_work:
|
||
QMessageBox.warning(self, "Нет этапов", "Включите хотя бы один этап.")
|
||
return
|
||
needs_ffmpeg = cfg.convert.enabled or cfg.shazam.enabled
|
||
if needs_ffmpeg and not shutil.which(cfg.convert.ffmpeg_path):
|
||
QMessageBox.warning(self, "ffmpeg не найден",
|
||
f"Команда '{cfg.convert.ffmpeg_path}' не найдена в PATH.")
|
||
return
|
||
if cfg.separate.enabled and not shutil.which(cfg.separate.unblend_path):
|
||
QMessageBox.warning(self, "unblend не найден",
|
||
f"Команда '{cfg.separate.unblend_path}' не найдена в PATH.")
|
||
return
|
||
|
||
self.log_view.clear()
|
||
self._log_device_info()
|
||
if cfg.transcribe.enabled and cfg.transcribe.language is None:
|
||
self._append_log("⚠ Язык = auto: WhisperX определит язык на каждом файле.")
|
||
|
||
self.progress.setValue(0)
|
||
self.progress.setFormat("Запуск…")
|
||
self.start_btn.setEnabled(False)
|
||
self.stop_btn.setEnabled(True)
|
||
|
||
self._worker = PipelineWorker(cfg)
|
||
self._worker.log.connect(self._append_log)
|
||
self._worker.progress.connect(self._on_progress)
|
||
self._worker.finished_ok.connect(self._on_finished)
|
||
self._worker.failed.connect(self._on_failed)
|
||
self._worker.start()
|
||
|
||
def _on_stop(self) -> None:
|
||
if self._worker is not None:
|
||
self._worker.stop()
|
||
self._append_log("⏹ Запрошена остановка…")
|
||
|
||
def _append_log(self, text: str) -> None:
|
||
self.log_view.appendPlainText(text)
|
||
sb = self.log_view.verticalScrollBar()
|
||
sb.setValue(sb.maximum())
|
||
|
||
def _on_progress(self, done: int, total: int, stage: str) -> None:
|
||
self.progress.setMaximum(total)
|
||
self.progress.setValue(done)
|
||
label = STAGE_LABELS.get(stage, stage)
|
||
self.progress.setFormat(f"{label} — %v / %m")
|
||
|
||
def _on_finished(self, results: list) -> None:
|
||
self.start_btn.setEnabled(True)
|
||
self.stop_btn.setEnabled(False)
|
||
ok = sum(1 for r in results if r.error is None)
|
||
fail = len(results) - ok
|
||
self.progress.setFormat(f"Готово — успешно {ok}, с ошибкой {fail}")
|
||
self._append_log(f"\n✅ Готово. Успешно: {ok}, с ошибкой: {fail}.")
|
||
|
||
def _on_failed(self, message: str) -> None:
|
||
self.start_btn.setEnabled(True)
|
||
self.stop_btn.setEnabled(False)
|
||
self.progress.setFormat("Ошибка")
|
||
self._append_log(f"\n✗ Ошибка пайплайна: {message}")
|
||
QMessageBox.critical(self, "Ошибка", message)
|