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import os
from PySide6.QtWidgets import (QWidget, QVBoxLayout, QLabel, QLineEdit,
QScrollArea, QComboBox, QCheckBox, QPushButton, QMessageBox)
from ui_components import CustomSlider, RadioButtonGroup
# 尝试导入实际的功能模块
try:
from tools.step020_asr import transcribe_all_audio_under_folder
except ImportError:
pass
class ASRTab(QWidget):
def __init__(self, parent=None):
super().__init__(parent)
self.layout = QVBoxLayout(self)
# 创建一个滚动区域
self.scroll_area = QScrollArea()
self.scroll_area.setWidgetResizable(True)
self.scroll_widget = QWidget()
self.scroll_layout = QVBoxLayout(self.scroll_widget)
# 视频文件夹
self.video_folder = QLineEdit("videos")
self.scroll_layout.addWidget(QLabel("视频文件夹"))
self.scroll_layout.addWidget(self.video_folder)
# ASR模型选择
self.asr_model = QComboBox()
self.asr_model.addItems(['WhisperX', 'FunASR'])
self.scroll_layout.addWidget(QLabel("ASR模型选择"))
self.scroll_layout.addWidget(self.asr_model)
# WhisperX模型大小
self.whisperx_size = RadioButtonGroup(['large', 'medium', 'small', 'base', 'tiny'], "WhisperX模型大小", 'large')
self.scroll_layout.addWidget(self.whisperx_size)
# 计算设备
self.device = RadioButtonGroup(['auto', 'cuda', 'cpu'], "计算设备", 'auto')
self.scroll_layout.addWidget(self.device)
# 批处理大小
self.batch_size = CustomSlider(1, 128, 1, "批处理大小 Batch Size", 32)
self.scroll_layout.addWidget(self.batch_size)
# 分离多个说话人
self.separate_speakers = QCheckBox("分离多个说话人")
self.separate_speakers.setChecked(True)
self.scroll_layout.addWidget(self.separate_speakers)
# 最小说话人数
self.min_speakers = RadioButtonGroup([None, 1, 2, 3, 4, 5, 6, 7, 8, 9], "最小说话人数", None)
self.scroll_layout.addWidget(self.min_speakers)
# 最大说话人数
self.max_speakers = RadioButtonGroup([None, 1, 2, 3, 4, 5, 6, 7, 8, 9], "最大说话人数", None)
self.scroll_layout.addWidget(self.max_speakers)
# 执行按钮
self.run_button = QPushButton("开始识别")
self.run_button.clicked.connect(self.run_asr)
self.scroll_layout.addWidget(self.run_button)
# 状态显示
self.status_label = QLabel("准备就绪")
self.scroll_layout.addWidget(QLabel("语音识别状态:"))
self.scroll_layout.addWidget(self.status_label)
# 识别结果详情
self.result_detail = QLabel("识别结果将显示在这里")
self.scroll_layout.addWidget(QLabel("识别结果详情:"))
self.scroll_layout.addWidget(self.result_detail)
# 设置滚动区域
self.scroll_area.setWidget(self.scroll_widget)
self.layout.addWidget(self.scroll_area)
self.setLayout(self.layout)
def run_asr(self):
# 这里应该调用原始的transcribe_all_audio_under_folder函数
# 临时实现，实际应用中需要替换为真实的调用
self.status_label.setText("识别中...")
QMessageBox.information(self, "功能提示", "AI智能语音识别功能正在实现中...")
# 实际应用中解除以下注释
try:
status, result_json = transcribe_all_audio_under_folder(
self.video_folder.text(),
self.asr_model.currentText(),
self.whisperx_size.value(),
self.device.value(),
self.batch_size.value(),
self.separate_speakers.isChecked(),
self.min_speakers.value(),
self.max_speakers.value()
)
self.status_label.setText(status)
self.result_detail.setText(str(result_json))
except Exception as e:
self.status_label.setText(f"识别失败: {str(e)}")
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