lq1405
f4d042f699
1. 移除软件包自带的本地 whisper（需单独安装） 2. 重构版本底层依赖，移除外部依赖 3. 修复 首页 暗黑模式不兼容的问题 4. 修复 SD 合并提示词报错
95 lines
2.8 KiB
Python
95 lines
2.8 KiB
Python
# -*- coding: utf-8 -*-
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import io
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import json
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import os
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import sys
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import clip
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import Push_back_Prompt
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import public_tools
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import shotSplit
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8")
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# 判断sys.argv 的长度，如果小于2，说明没有传入参数，设置初始参数
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# "C:\\Users\\27698\\Desktop\\LAITool\\resources\\scripts\\Lai.exe" -c "D:/来推项目集/7.4/娱乐：江湖大哥退休，去拍电影/scripts/output_crop_00001.json" "NVIDIA"
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if len(sys.argv) < 2:
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sys.argv = [
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"C:\\Users\\27698\\Desktop\\LAITool\\resources\\scripts\\Lai.exe",
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"-c",
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"D:/来推项目集/7.4/娱乐：江湖大哥退休，去拍电影/scripts/output_crop_00001.json",
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"NVIDIA",
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]
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print(sys.argv)
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if len(sys.argv) < 2:
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print("Params: <runtime-config.json>")
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exit(0)
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if getattr(sys, "frozen", False):
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cript_directory = os.path.dirname(sys.executable)
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elif __file__:
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cript_directory = os.path.dirname(__file__)
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def set_ffmpeg_env():
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# 根据你的ffmpeg路径替换这个
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ffmpeg_path = os.path.join(cript_directory, "../package/ffmpeg/win")
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if sys.platform == "win32":
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ffmpeg_path = ffmpeg_path.replace("/", "\\")
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# 检查环境变量中是否已经设置
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if "PATH" in os.environ:
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path_values = os.environ["PATH"]
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if ffmpeg_path not in path_values:
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os.environ["PATH"] += f";{ffmpeg_path}"
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else:
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os.environ["PATH"] = ffmpeg_path
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set_ffmpeg_env()
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# 执行剪辑的方法
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if sys.argv[1] == "-c":
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clip = clip.Clip(cript_directory, sys.argv[2], sys.argv[3])
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clip.MergeVideosAndClip()
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pass
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# 获取字体
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elif sys.argv[1] == "-f":
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# 获取本地已安装的字幕。然后返回
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public_tools = public_tools.PublicTools()
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font_list = public_tools.get_installed_fonts()
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font_obj_list = []
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for font_name in font_list:
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obj = {"label": font_name, "value": font_name}
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font_obj_list.append(obj)
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with open(sys.argv[2], "r", encoding="utf-8") as file:
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data = json.load(file)
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data["font_name_list"] = font_obj_list
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with open(sys.argv[2], "w", encoding="utf-8") as file:
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json.dump(data, file, ensure_ascii=False, indent=4)
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# 反推提示词
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elif sys.argv[1] == "-p":
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Push_back_Prompt.init(sys.argv[2], sys.argv[3], sys.argv[4])
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pass
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elif sys.argv[1] == "-ka":
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shotSplit.get_fram(sys.argv[2], sys.argv[3], sys.argv[4])
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pass
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# # 智能分镜。字幕识别
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# elif sys.argv[1] == "-a":
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# print("开始算法分镜：" + sys.argv[2] + " -- 输出文件夹：" + sys.argv[3])
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# shotSplit.init(sys.argv[2], sys.argv[3], sys.argv[4], sys.argv[5], sys.argv[6])
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# # 本地提取音频
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# elif sys.argv[1] == "-t":
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# print("开始提取文字：" + sys.argv[2])
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# shotSplit.GetTextTask(sys.argv[2], sys.argv[3], sys.argv[4])
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# pass
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