| import gradio as gr |
| from dotenv import load_dotenv |
|
|
| |
| from reranking_leaderboard import create_reranking_tab |
| from retrieval_leaderboard import create_retrieval_tab |
|
|
| load_dotenv() |
|
|
| HEADER = """<div style="text-align: center; margin-bottom: 20px;"> |
| <h1>The Arabic RAG Leaderboard</h1> |
| <p style="font-size: 16px; color: #888;">The only leaderboard you will require for your RAG needs 🏆</p> |
| </div> |
| |
| This leaderboard presents the first comprehensive benchmark for Arabic RAG systems, evaluating both retrieval and re-ranking components. Our framework combines real-world queries with synthetic contexts in a dynamic evaluation cycle, ensuring fair and robust assessment of Arabic information retrieval systems. |
| <br> |
| <br> |
| For technical details, check our blog post <a href="https://huggingface.co/blog/Navid-AI/arabic-rag-leaderboard">here</a>. |
| """ |
|
|
| CITATION_BUTTON_LABEL = """ |
| Copy the following snippet to cite these results |
| """ |
|
|
| CITATION_BUTTON_TEXT = """ |
| @misc{TARL, |
| author = {Mohaned A. Rashad, Hamza Shahid}, |
| title = {The Arabic RAG Leaderboard}, |
| year = {2025}, |
| publisher = {Navid-AI}, |
| howpublished = "url{https://huggingface.co/spaces/Navid-AI/The-Arabic-Rag-Leaderboard}" |
| } |
| """ |
|
|
|
|
| def create_app(): |
| with gr.Blocks() as app: |
| gr.HTML(HEADER) |
|
|
| with gr.Tabs(): |
| with gr.Tab("🕵️♂️ Retrieval"): |
| create_retrieval_tab() |
|
|
| with gr.Tab("📊 Reranking"): |
| create_reranking_tab() |
|
|
| |
| |
|
|
| with gr.Row(): |
| with gr.Accordion("📙 Citation", open=False): |
| gr.Textbox( |
| value=CITATION_BUTTON_TEXT, |
| label=CITATION_BUTTON_LABEL, |
| lines=20, |
| elem_id="citation-button", |
| show_copy_button=True, |
| ) |
| return app |
|
|
|
|
| if __name__ == "__main__": |
| app = create_app() |
| app.queue().launch(ssr_mode=True) |
|
|
