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README.md

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-# Smart Context Citation (SCC) Tool
-
-A Python-based tool designed for Hugging Face Spaces that automates the implementation of the Smart Context Citation (SCC) referencing style.
-
-## Overview
-
-The Smart Context Citation (SCC) style is a next-generation digital referencing system designed to address the evolving landscape of academic writing in the age of Generative AI (GenAI) and online information dependency. It redefines citation practices by embedding citation context directly in the document, eliminating the need for traditional reference lists, and using cryptographic hash signatures to ensure citation integrity.
-
-## Features
-
-### Citation Generator Tab
-- Input fields for username, task name, author name, publication year, source URL, and cited text
-- Automatic date and time display (Melbourne, Australia timezone)
-- Generation of SCC-compliant citations in HTML and plaintext formats
-- SHA-256 hash generation for citation integrity
-- Copy-to-clipboard functionality for all outputs
-- Warning system for URLs that already contain text fragments
-- Comprehensive SCC style documentation and instructions
-
-### Verify Citation Tab
-- Hash verification system to check citation authenticity
-- Table display of verification history
-- Download verification history as CSV file
-- Support for multiple hash verification
-
-## SCC Style Benefits
-
-- **Integrity**: Prevents citation manipulation or fabrication
-- **Transparency**: Readers see exactly what was cited
-- **Efficiency**: Eliminates duplication in reference lists
-- **Digital Fluency**: Reflects real-world web-based research behavior
-- **AI-Resistant**: Makes it difficult for GenAI tools to generate fake or superficial citations
-
-## Installation and Setup
-
-### For Hugging Face Spaces
-
-1. Create a new Space on Hugging Face
-2. Upload the following files:
-   - `app.py` (main application)
-   - `requirements.txt` (dependencies)
-   - `README.md` (this file)
-3. Set the Space SDK to "Streamlit"
-4. The app will automatically deploy
-
-### For Local Development
-
-1. Clone or download the repository
-2. Install dependencies:
-   ```bash
-   pip install -r requirements.txt
-   ```
-3. Run the application:
-   ```bash
-   streamlit run app.py
-   ```
-
-## Usage Examples
-
-### Example Citation Generation
-
-**Input:**
-- Author: `Abuseif et al.`
-- Year: `2025`
-- URL: `https://www.sciencedirect.com/science/article/pii/S2772411523000046`
-- Text: `A proposed design framework for green roof settings in general and trees on buildings`
-
-**Output (HTML):**
-```html
-<a href="https://www.sciencedirect.com/science/article/pii/S2772411523000046#:~:text=A%20proposed%20design%20framework%20for%20green%20roof%20settings%20in%20general%20and%20trees%20on%20buildings" data-hash="[GENERATED_HASH]">(Abuseif et al., 2025)</a>
-```
-
-**Output (Plaintext):**
-```
-(Abuseif et al., 2025) [hash: a78c45f91e2d...]
-```
-
-## Technical Details
-
-### Hash Generation
-The SHA-256 hash is generated from the concatenated string:
-```
-Author, Year | URL | Fragment text | Cited text | username | task name | date | time
-```
-
-### Text Fragment Support
-The tool uses the Text Fragments WICG specification to create URLs that highlight specific text passages in modern browsers using the `#:~:text=` syntax.
-
-## Dependencies
-
-- `streamlit`: Web application framework
-- `pytz`: Timezone handling for Melbourne, Australia timezone
-- `pandas`: Data manipulation for verification history
-
-## Creator
-
-Developed by: Dr Majed Abuseif  
-School of Architecture and Built Environment  
-Deakin University  
-© 2025
-
-## Technical Legitimacy
-
-This tool references the [Text Fragments WICG specification](https://wicg.github.io/scroll-to-text-fragment/) to reinforce the technical legitimacy of the approach.
-
-## License
-
-© 2025 Dr Majed Abuseif, Deakin University. All rights reserved.
-
+---
+title: SCC
+emoji: 🚀
+colorFrom: red
+colorTo: red
+sdk: docker
+app_port: 8501
+tags:
+- streamlit
+pinned: false
+short_description: Smart Context Citation Tool
+---
+
+# Welcome to Streamlit!