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README.md

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-title: README
-emoji: 📚
-colorFrom: green
-colorTo: indigo
-sdk: streamlit
-pinned: false
+# Arizona State University - Official AI Hub on Hugging Face
+
+Welcome to the **Arizona State University Official AI Hub** on Hugging Face! 🎓 This space is dedicated to fostering collaboration within the ASU community, enabling students, faculty, and researchers to share datasets, machine learning models, and other AI-related resources for academic and research purposes.
+
+## Project Overview
+
+This official ASU Hugging Face Space offers:
+- **Collaborative Dataset Sharing**: Upload and access datasets for research, analysis, and project development.
+- **Model Repository**: Publish machine learning models for educational use, research collaboration, and community innovation.
+- **Resource Exploration**: Discover contributions from other ASU community members and expand your research horizons.
+
+## Features
+
+- **About Arizona State University**: ASU is a leader in innovation and inclusivity. Learn more about our commitment to academic excellence and research at [ai.asu.edu](https://ai.asu.edu).
+- **Dataset Upload**: Share datasets in CSV, XLSX, or ZIP format, creating accessible resources for fellow researchers.
+- **Model Upload**: Publish machine learning models in formats like `.pt`, `.h5`, and ZIP for community collaboration.
+- **Community Contributions**: Explore and utilize datasets and models shared by ASU students, faculty, and researchers.
+
+## Installation and Setup
+
+This Hugging Face Space is built with the **Streamlit** SDK. For local testing and development:
+
+1. Clone the repository:
+    ```bash
+    git clone https://huggingface.co/spaces/ASU_Official
+    cd ASU_Official
+    ```
+
+2. Install the necessary dependencies:
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3. Run the Streamlit app:
+    ```bash
+    streamlit run app.py
+    ```
+
+## Usage
+
+1. **Uploading Datasets**: Use the "Datasets" section to share your data in CSV, XLSX, or ZIP formats.
+2. **Uploading Models**: Publish your machine learning models by uploading files in `.pt`, `.h5`, or ZIP format.
+3. **Exploring Community Resources**: Access shared datasets and models to enhance your own research and projects.
+
+## Contributing
+
+ASU students, faculty, and researchers are encouraged to contribute by sharing datasets, models, and improvements. To contribute, please fork the repository, make your changes, and submit a pull request.
+
+## Contact Information
+
+For official inquiries or support, please reach out to the ASU AI and Research Support Teams at [ai.asu.edu](https://ai.asu.edu). This project is managed by Arizona State University.
+
 ---
 
-Edit this `README.md` markdown file to author your organization card.
+**Disclaimer**: This is the official ASU repository on Hugging Face. For detailed information about ASU's AI initiatives, visit [ai.asu.edu](https://ai.asu.edu).