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README.md
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# π Text Readability Analyzer
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## π About
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This application analyzes the readability of a given text using various readability metrics. These metrics help determine how easy or difficult a text is to read, making it useful for educators, writers, and researchers.
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### **Readability Score Descriptions**
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- **Flesch Reading Ease**: A higher score means the text is easier to read.
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- **Flesch-Kincaid Grade Level**: Indicates the U.S. school grade required to understand the text.
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- **Gunning Fog Index**: Estimates the number of years of formal education needed.
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- **Automated Readability Index (ARI)**: Similar to Flesch-Kincaid but uses a different formula.
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- **SMOG Index**: Designed for healthcare and scientific texts.
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- **Coleman-Liau Index**: Uses character count instead of syllables.
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- **Dale-Chall Readability Score**: Considers familiar words to determine readability.
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## π Features
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β
**Real-time Text Analysis** β Enter text and get instant readability insights.
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β
**Multiple Readability Scores** β Compare different readability metrics.
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β
**Visual Representation** β Interactive charts to illustrate complexity.
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β
**Live Updates** β Analysis refreshes as you modify the text.
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## π― How to Use
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1. **Enter or paste text** into the input box.
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2. **View detailed readability scores** on the right.
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3. **Interpret results** using the descriptions above.
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4. **Use example text** by clicking the "Use Example Text" button.
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## π Try it on Hugging Face
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[](https://huggingface.co/spaces/Text_Analyzer)
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## π οΈ Installation (For Local Use)
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To run the app locally, install dependencies and launch:
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```bash
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pip install gradio textstat matplotlib
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python app.py
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