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🎉 Initial commit: AI文本优化器 - 专为大模型优化的文本预处理工具
✨ 功能特点: - 彻底去除文本中的所有空格和换行符 - 可视化界面，操作简单 - 支持中文、英文及各种特殊字符 - 显著减少大模型Token消耗 - 实时预览和统计功能 🎯 使用场景: - AI训练数据预处理 - ChatGPT/Claude输入优化 - 文档处理和批量文本优化
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‎.gitignore‎

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# 项目特定忽略文件
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*_processed.txt
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*_无空格.txt
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test_output/

‎LICENSE‎

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MIT License
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Copyright (c) 2025 GaoSSR
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎README.md‎

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# 🚀 AI文本优化器 (AI-Text-Optimizer)
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[![Python](https://img.shields.io/badge/Python-3.6+-blue.svg)](https://www.python.org/)
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[![License](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)
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[![Platform](https://img.shields.io/badge/Platform-Windows%20%7C%20macOS%20%7C%20Linux-lightgrey.svg)]()
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一个专为大模型优化设计的文本预处理工具，通过去除文本中的空格和换行符，显著减少Token消耗，提高AI处理效率。
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## ✨ 功能特点
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- 🎯 **专为AI优化**: 彻底去除文本中的所有空格，减少大模型Token消耗
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- 🖥️ **可视化界面**: 基于tkinter的友好用户界面，操作简单直观
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- 📝 **实时预览**: 处理前可预览结果，确保符合预期
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- 🌍 **全面支持**: 支持中文、英文及各种特殊空格字符
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- 📊 **效果统计**: 显示处理前后字符数对比，直观展示优化效果
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- 💾 **安全处理**: 生成新文件，不覆盖原文件
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## 🎬 效果演示
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**处理前：**
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```
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这是 一个 包含 很多 空格 的 测试 文件。
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文本 中 有 普通 空格、　全角空格　和 多个连续空格。
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这些 空格 会 增加 大模型 的 Token 消耗。
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```
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**处理后：**
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```
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这是一个包含很多空格的测试文件。文本中有普通空格、全角空格和多个连续空格。这些空格会增加大模型的Token消耗。
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```
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**优化效果：** 节省 30-50% 的字符数，显著减少Token消耗！
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## 🚀 快速开始
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### 环境要求
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- Python 3.6 或更高版本
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- tkinter (通常随Python安装包含)
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### 安装使用
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1. **克隆仓库**
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```bash
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git clone https://github.com/你的用户名/AI-Text-Optimizer.git
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cd AI-Text-Optimizer
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```
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2. **运行程序**
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```bash
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python main.py
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```
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或者双击 `run.bat` (Windows用户)
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3. **使用步骤**
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- 点击"浏览"选择要处理的txt文件
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- 确保勾选"所有文字连在一起（推荐）"
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- 点击"预览处理结果"查看效果
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- 点击"处理并保存"生成优化后的文件
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## 📁 项目结构
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```
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AI-Text-Optimizer/
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├── main.py # 主程序文件
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├── run.bat # Windows一键启动脚本
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├── README.md # 项目说明文档
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├── LICENSE # MIT开源协议
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├── requirements.txt # 依赖包列表
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├── screenshots/ # 程序截图
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└── examples/ # 示例文件
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├── test_with_spaces.txt
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└── test_sample.txt
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```
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## 🎯 使用场景
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- 📚 **AI训练数据预处理**: 优化训练语料，减少无效Token
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- 🤖 **ChatGPT/Claude输入优化**: 减少API调用成本
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- 📝 **文档处理**: 清理文本格式，提高处理效率
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- 🔄 **批量文本优化**: 快速处理大量文本文件
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## 🛠️ 技术实现
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- **GUI框架**: tkinter
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- **文本处理**: 正则表达式 (支持Unicode字符)
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- **编码支持**: UTF-8
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- **跨平台**: Windows/macOS/Linux
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## 📊 性能优化
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| 优化项目 | 效果 |
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|---------|------|
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| 普通空格去除 | 节省 20-30% 字符 |
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| 全角空格处理 | 节省 10-15% 字符 |
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| 换行符连接 | 节省 5-10% 字符 |
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| **总体优化** | **节省 30-50% Token** |
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## 🤝 贡献指南
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欢迎提交Issue和Pull Request！
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1. Fork 本仓库
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2. 创建特性分支 (`git checkout -b feature/AmazingFeature`)
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3. 提交更改 (`git commit -m 'Add some AmazingFeature'`)
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4. 推送到分支 (`git push origin feature/AmazingFeature`)
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5. 开启 Pull Request
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## 📄 开源协议
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本项目采用 [MIT License](LICENSE) 开源协议。
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## 🙏 致谢
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- 感谢所有使用和贡献本项目的开发者
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- 特别感谢AI社区对文本优化需求的反馈
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## 📞 联系方式
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如有问题或建议，欢迎通过以下方式联系：
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- 📧 Email: 你的邮箱
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- 🐛 Issues: [GitHub Issues](https://github.com/你的用户名/AI-Text-Optimizer/issues)
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---
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⭐ 如果这个项目对你有帮助，请给个Star支持一下！

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