| | --- |
| | title: Human vs AI Text Detector |
| | emoji: 🔍 |
| | colorFrom: purple |
| | colorTo: blue |
| | sdk: gradio |
| | sdk_version: 4.44.0 |
| | app_file: app.py |
| | pinned: false |
| | license: apache-2.0 |
| | tags: |
| | - text-classification |
| | - human-ai-text-attribution |
| | - african-languages |
| | - multilingual |
| | - hata |
| | --- |
| | |
| | # 🔍 Human vs AI Text Detector |
| |
|
| | Detect whether text is human-written or AI-generated across multiple African languages! |
| |
|
| | ## 🌟 Features |
| |
|
| | - **Multilingual Support**: Works with English, Yoruba, Hausa, Igbo, Swahili, Amharic, and Nigerian Pidgin |
| | - **High Accuracy**: 100% accuracy on validation set |
| | - **Fair & Unbiased**: Explicitly trained with fairness constraints across all languages |
| | - **Easy to Use**: Simple interface for single text or batch processing |
| |
|
| | ## 🎯 How to Use |
| |
|
| | 1. **Single Text**: Paste your text in the input box and click "Classify Text" |
| | 2. **Batch Processing**: Upload a `.txt` file with one text per line for batch classification |
| | 3. **Examples**: Try the pre-loaded examples in different languages |
| |
|
| | ## 🔬 Model Details |
| |
|
| | - **Base Model**: AfroXLMR-base |
| | - **Parameters**: ~270M |
| | - **Training**: Fine-tuned on PhD HATA African Dataset |
| | - **Fairness**: EOD = 0.0, AAOD = 0.0 (perfect fairness) |
| |
|
| | ## 📊 Performance |
| |
|
| | | Metric | Score | |
| | |--------|-------| |
| | | Accuracy | 100% | |
| | | F1 Score | 100% | |
| | | Precision | 100% | |
| | | Recall | 100% | |
| |
|
| | ## ⚠️ Limitations |
| |
|
| | - Optimized for African languages in training set |
| | - Performance may vary on newer AI generation systems |
| | - Should be used as part of a broader content verification system |
| |
|
| | ## 🔗 Links |
| |
|
| | - [Model Repository](https://huggingface.co/msmaje/phdhatamodel) |
| | - [Training Visualizations](https://huggingface.co/msmaje/phdhatamodel/tree/main/visualizations) |
| | - [Dataset](https://huggingface.co/datasets/msmaje/phd-hata-african-dataset) |
| |
|
| | ## 📚 Citation |
| |
|
| | ```bibtex |
| | @misc{msmaje2025hata, |
| | author = {Maje, M.S.}, |
| | title = {AfroXLMR for Human-AI Text Attribution}, |
| | year = {2025}, |
| | publisher = {HuggingFace}, |
| | url = {https://huggingface.co/msmaje/phdhatamodel} |
| | } |
| | ``` |
| |
|
| | ## 📧 Contact |
| |
|
| | For questions or feedback, please open an issue in the model repository. |
