app.py

import gradio as gr
from dotenv import load_dotenv

# from llm_in_context_leaderboard import create_llm_in_context_tab
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.Tab("🧠 LLM in Context"):
            #     create_llm_in_context_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)