This project generates random text based on real world frequency table of Chinese characters. It reads character frequencies from a file and uses them to generate random sentences.
By default, it generates a random text with 3~5 paragraphs, 4~8 sentences per paragraph, and no more than 20 characters per sentence, which is about 300 characters.
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Clone the repository:
git clone https://github.com/SunnyCloudYang/Chinese-lorem-ipsum.git
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Navigate to the project directory:
cd Chinese-lorem-ipsum -
Set up a virtual environment:
python -m venv venv
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Activate the virtual environment:
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On Windows:
venv\Scripts\activate
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On macOS/Linux:
source venv/bin/activate
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Install the required dependencies:
pip install -r requirements.txt
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Clone the repository:
git clone https://github.com/SunnyCloudYang/Chinese-lorem-ipsum.git
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Navigate to the project directory:
cd Chinese-lorem-ipsum/website -
Install the required dependencies:
npm install
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Navigate to the website directory:
cd Chinese-lorem-ipsum/website -
Run the Vercel development server:
vercel dev
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Open your browser and navigate to
http://localhost:3000. -
Click the "Generate" button to generate a random text.
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Ensure you have the
word_freq.txtfile in the project directory. -
Run the script to generate a random text with 3~5 paragraphs and 4~8 sentences per paragraph:
python lorem_ipsum.py
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Fork the repository.
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Create a new branch:
git checkout -b feature/your-feature
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Make your changes and commit them:
git commit -m "Add your message" -
Push to the branch:
git push origin feature/your-feature
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Open a pull request.
This project is licensed under the MIT License.