194 lines
6.6 KiB
Python
194 lines
6.6 KiB
Python
# -*- coding: utf-8 -*-
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"""
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营销短视频生成自动化
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功能清单
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1、打开并读取任务
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2、按照初始化剪映草稿、分别添加视频轨、音频轨、字幕轨和图片轨等、生成视频执行任务
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"""
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import asyncio
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from pathlib import Path
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import edge_tts
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async def audio_gen(
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text: str, output_path: Path, voice_name: str = "zh-CN-XiaoxiaoNeural"
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):
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# 可用的中文语音列表
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# chinese_voices = {
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# "女声-晓晓": "zh-CN-XiaoxiaoNeural", # 年轻女声，自然
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# "女声-晓辰": "zh-CN-XiaochenNeural", # 年轻女声，温暖
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# "女声-晓墨": "zh-CN-XiaomoNeural", # 女声，富有表现力
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# "男声-晓悠": "zh-CN-XiaoyouNeural", # 儿童音，可爱
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# "男声-晓涵": "zh-CN-XiaohanNeural", # 年轻男声，温暖
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# "男声-晓睿": "zh-CN-XiaoruiNeural", # 成熟男声，沉稳
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# "女声-晓倩": "zh-CN-XiaoqianNeural", # 女声，成熟
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# "男声-晓东": "zh-CN-XiaodongNeural", # 男声，权威
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# }
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# 生成语音
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communicate = edge_tts.Communicate(
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text, voice_name, rate="+0%", pitch="+0Hz", volume="+0%"
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)
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await communicate.save(output_path)
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print(f"语音已保存到: {output_path}")
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# ----
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import pycapcut as capcut
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from pycapcut import KeyframeProperty, SEC
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from pycapcut import FontType, TextStyle, ClipSettings
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from typing import List
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import srt
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async def video_merge_audio_and_caption(
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video_path: Path,
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audioPathList: List[Path],
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image_path: Path,
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subtitleList: List[srt.Subtitle],
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output_path: Path,
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):
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PROJECT_DIR = "C:\\Users\\z4938\\AppData\\Local\\JianyingPro\\User Data\\Projects\\com.lveditor.draft"
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draft_folder = capcut.DraftFolder(PROJECT_DIR)
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script = draft_folder.create_draft("新草稿", 1920, 1080)
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print("成功创建 draft（剪映项目草稿）")
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# 添加视频轨
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video_track_id = 1
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script.add_track(
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capcut.TrackType.video, track_name="视频", relative_index=video_track_id
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)
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video_mat = capcut.VideoMaterial(video_path)
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video_seg = capcut.VideoSegment(video_mat, capcut.Timerange(0, video_mat.duration))
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video_seg.add_keyframe(KeyframeProperty.alpha, video_seg.duration - SEC, 1.0)
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video_seg.add_keyframe(KeyframeProperty.alpha, video_seg.duration, 0.0)
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video_seg.volume = 0
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script.add_segment(video_seg, "视频")
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print(
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f"视频素材导入成功，素材ID：{video_seg.material_id}, 片段id：{video_seg.segment_id}"
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)
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# 添加logo图片轨
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logo_track_id = 2
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script.add_track(
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capcut.TrackType.video, track_name="logo图片", relative_index=logo_track_id
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)
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logo_mat = capcut.VideoMaterial(image_path)
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logo_seg = capcut.VideoSegment(logo_mat, capcut.Timerange(0, video_mat.duration))
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logo_seg.add_keyframe(KeyframeProperty.alpha, video_seg.duration - SEC, 1.0)
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logo_seg.add_keyframe(KeyframeProperty.alpha, video_seg.duration, 0.0)
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script.add_segment(logo_seg, "logo图片")
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print(f"logo导入成功，视频轨道id：{logo_track_id}")
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# 添加音频轨
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script.add_track(capcut.TrackType.audio, track_name="音频", relative_index=3)
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for audio_path in audioPathList:
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audio_mat = capcut.AudioMaterial(audio_path)
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audio_seg = capcut.AudioSegment(
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audio_mat,
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capcut.Timerange(0, audio_mat.duration),
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source_timerange=capcut.Timerange(0, audio_mat.duration),
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)
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script.add_segment(audio_seg, "音频")
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print(
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f"音频素材导入成功，素材ID：{audio_seg.material_id}, 片段id：{audio_seg.segment_id}"
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)
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# 添加字幕轨
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script.add_track(capcut.TrackType.text, track_name="字幕", relative_index=4)
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for subtitle in subtitleList:
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text_seg = capcut.TextSegment(
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subtitle.content,
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capcut.Timerange(
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subtitle.start.total_seconds(), subtitle.end.total_seconds()
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),
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font=FontType.下午茶,
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style=TextStyle(
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size=5.0,
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color=(0.7, 0.7, 1.0),
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auto_wrapping=True,
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underline=True,
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align=1,
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),
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clip_settings=ClipSettings(transform_y=-0.8),
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)
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script.add_segment(text_seg, "字幕")
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print("字幕添加成功")
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export_result = script.export(
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output_path=output_path, resolution="1080p", fps=30, quality="high"
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)
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print(f"视频导出完成！result: {export_result}, 成品路径：{output_path}")
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# ----
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from datetime import timedelta
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from moviepy import AudioFileClip
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async def main():
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TEXT_PATH_STR = "D:\\develop\\trkj\\resources\\tts_text.txt"
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AUDIO_PATH_STR_FMT = "D:\\develop\\trkj\\resources\\audio_tts_{}.aac"
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SRT_PATH_STR = "D:\\develop\\trkj\\resources\\tts_text_srt.srt"
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VIDEO_PATH_STR = "D:\\develop\\trkj\\resources\\test_video.mp4"
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IMAGE_PATH_STR = "D:\\develop\\trkj\\resources\\logo.png"
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OUTPUT_PATH_STR = "D:\\develop\\trkj\\resources\\video_output.mp4"
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videoPath = Path(VIDEO_PATH_STR)
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audioPathList = list()
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subtitleList = list()
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imagePath = Path(IMAGE_PATH_STR)
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outputPath = Path(OUTPUT_PATH_STR)
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with open(TEXT_PATH_STR, "r", encoding="UTF-8") as text_f:
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line = text_f.readline()
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i = 0
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next_start_seconds = timedelta(seconds=0.0)
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while line:
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audioPath = AUDIO_PATH_STR_FMT.format(i)
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# 每行生成音频
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await audio_gen(line, audioPath)
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audioPathList.append(audioPath)
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# 创建音频对应的字幕
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audio = AudioFileClip(audioPath)
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try:
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current_start_seconds = next_start_seconds
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current_end_seconds = next_start_seconds + timedelta(
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seconds=audio.duration
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)
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subtitle = srt.Subtitle(
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index=i + 1,
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start=current_start_seconds,
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end=current_end_seconds,
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content=line.strip(),
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)
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subtitleList.append(subtitle)
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finally:
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audio.close()
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line = text_f.readline()
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i = i + 1
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next_start_seconds = current_end_seconds
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srt_content = srt.compose(subtitleList)
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with open(SRT_PATH_STR, "w", encoding="UTF-8") as srt_file:
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srt_file.write(srt_content)
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print(f"字幕文件已生成: {SRT_PATH_STR}")
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await video_merge_audio_and_caption(
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videoPath, audioPathList, imagePath, subtitleList, outputPath
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)
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if __name__ == "__main__":
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asyncio.run(main())
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