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| title: Test Arabic Models | |
| emoji: 🚀 | |
| colorFrom: red | |
| colorTo: red | |
| sdk: docker | |
| app_port: 8501 | |
| tags: | |
| - streamlit | |
| pinned: false | |
| short_description: Streamlit template space | |
| # Welcome to Streamlit! | |
| Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart: | |
| If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community | |
| forums](https://discuss.streamlit.io). | |
| # Arabic Poetry Lab – Meters, Diacritization & Generation | |
| A Streamlit Space to try Arabic poetry models featured in recent papers: | |
| - Meter classification (AraPoemBERT, MetRec GRU, APCD2 BiLSTM) | |
| - Era / Theme (Ashaar) | |
| - Diacritization (Ashaar diacritizer) | |
| - Poetry generation (Ashaar char-GPT, AraGPT2, GPT-J) | |
| ## Use | |
| 1) Create a Hugging Face Space → Streamlit. | |
| 2) Add `app.py` and `requirements.txt`. | |
| 3) (Optional) Set Space hardware to GPU for big generators. | |
| ## Model IDs | |
| Paste exact model repo IDs in the UI for any placeholder entries (e.g., `faisalq/AraPoemBERT-meter`, `ARBML/ashaar-diacritizer`, etc.). | |