自动化与AI生产

import whisper
import srt
from pathlib import Path

def generate_subtitles(video_path: str, output_format: str = "srt"):
    """
    使用 Whisper AI 生成视频字幕
    Args:
        video_path: 视频文件路径
        output_format: 输出格式 (srt/vtt)
    """
    model = whisper.load_model("base")
    result = model.transcribe(video_path)

    # 生成 SRT 格式
    subtitles = []
    for i, segment in enumerate(result["segments"]):
        start = segment["start"]
        end = segment["end"]
        text = segment["text"].strip()

        # 时间码转换
        start_srt = format_timestamp(start)
        end_srt = format_timestamp(end)

        subtitles.append(f"{i+1}\n{start_srt} --> {end_srt}\n{text}\n")

    return "\n".join(subtitles)

def format_timestamp(seconds: float) -> str:
    """将秒数转换为 SRT 时间格式 HH:MM:SS,mmm"""
    hours = int(seconds // 3600)
    minutes = int((seconds % 3600) // 60)
    secs = int(seconds % 60)
    millis = int((seconds % 1) * 1000)
    return f"{hours:02d}:{minutes:02d}:{secs:02d},{millis:03d}"

# 使用示例
if __name__ == "__main__":
    video_file = "interview.mp4"
    srt_content = generate_subtitles(video_file)

    output_path = Path(video_file).with_suffix(".srt")
    output_path.write_text(srt_content, encoding="utf-8")
    print(f"字幕已生成: {output_path}")

@echo off
chcp 65001 > nul
echo ========================================
echo   视频批量重命名工具
echo ========================================
echo.

set "project_folder="
set /p project_folder=请输入项目文件夹路径:

if not exist "%project_folder%" (
    echo 错误：文件夹不存在！
    pause
    exit /b 1
)

cd /d "%project_folder%"
set counter=1

for %%f in (*.mp4 *.mov *.avi) do (
    set "ext=%%~xf"
    set "filename=%%~nf"

    :: 提取日期（示例：从文件名中提取）
    for /f "tokens=1-3 delims=-" %%a in ("%%~nf") do (
        set "date_part=%%a-%%b-%%c"
    )

    :: 生成新文件名
    set "new_name=!date_part!_片段_!counter!!ext!"

    echo !filename!!ext!  ---^>  !new_name!
    ren "%%f" "!new_name!"
    set /a counter+=1
)

echo.
echo 完成！共处理 %counter% 个文件。
pause