requirements

README copy.md

@@ -1,80 +0,0 @@
----
-title: Qimma Leaderboard
-emoji: 📊
-colorFrom: blue
-colorTo: green
-sdk: docker
-pinned: false
-short_description: Qimma leaderboard
----
-
-# Qimma Leaderboard
-
-The Qimma Leaderboard is an open evaluation platform for Arabic Large Language Models (LLMs). It tracks the performance of various models across a suite of Arabic benchmarks.
-
-## 🚀 Features
-
-*   **Leaderboard**: Real-time ranking of models based on their performance on multiple datasets (AlGhafa, ArabicMMLU, EXAMS, etc.).
-*   **Submission System**: Allows users to submit their models for evaluation.
-*   **Queue Status**: Displays the current status of submitted models (Pending, Running, Finished, Failed).
-*   **Automated Updates**: The system automatically fetches new results and updates the leaderboard.
-
-## 🛠️ Installation & Setup
-
-To run the leaderboard locally:
-
-1.  **Clone the repository:**
-    ```bash
-    git clone https://huggingface.co/spaces/qimma/Qimma-Leaderboard
-    cd Qimma-Leaderboard
-    ```
-
-2.  **Install dependencies:**
-    ```bash
-    pip install -r requirements.txt
-    ```
-
-3.  **Set up Environment Variables:**
-    You need a Hugging Face API token to access the datasets. Set the `HF_API_TOKEN` environment variable.
-    ```bash
-    export HF_API_TOKEN="your_token_here"
-    ```
-
-4.  **Run the application:**
-    ```bash
-    python app.py
-    ```
-    The app will be available at `http://localhost:7860`.
-
-## 📂 Code Structure
-
-The repository is organized into a frontend-backend architecture using FastAPI.
-
-### Backend (`/backend`)
-Handles data processing, API endpoints, and interaction with the Hugging Face Hub.
-
-*   **`app.py`**: The main entry point. Initializes the FastAPI app, sets up routes, and manages background tasks for data synchronization.
-*   **`backend/config.py`**: Configuration settings, including repository IDs and the list of evaluation tasks (`TASKS`).
-*   **`backend/data_loader.py`**: Responsible for downloading dataset snapshots and loading leaderboard/queue data from the Hugging Face Hub.
-*   **`backend/submission_handler.py`**: Logic for processing model submissions and validating input.
-*   **`backend/helpers.py`**: Utility functions for data manipulation.
-
-### Frontend (`/frontend`)
-Contains the HTML templates served by the application.
-
-*   **`index.html`**: The landing page displaying the main leaderboard.
-*   **`leaderboard.html`**: The table component for displaying model rankings.
-*   **`submit.html`**: The form for users to submit new models.
-*   **`about.html`**: Information about the project and methodology.
-*   **`header.html`**: Common header component used across pages.
-
-## ⚙️ Configuration
-
-The evaluation tasks and model types are defined in `backend/config.py`. You can modify the `TASKS` list to add or remove benchmarks.
-
-```python
-TASKS = [
-    ("community|alghafa:_average|0", "acc_norm", "AlGhafa"),
-    # ...
-]
-```

README.md

@@ -1,12 +1,80 @@
 ---
-title: Leaderboard
-emoji: 😻
-colorFrom: yellow
+title: Qimma Leaderboard
+emoji: 📊
+colorFrom: blue
 colorTo: green
-sdk: gradio
-sdk_version: 6.4.0
-app_file: app.py
+sdk: docker
 pinned: false
+short_description: Qimma leaderboard
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Qimma Leaderboard
+
+The Qimma Leaderboard is an open evaluation platform for Arabic Large Language Models (LLMs). It tracks the performance of various models across a suite of Arabic benchmarks.
+
+## 🚀 Features
+
+*   **Leaderboard**: Real-time ranking of models based on their performance on multiple datasets (AlGhafa, ArabicMMLU, EXAMS, etc.).
+*   **Submission System**: Allows users to submit their models for evaluation.
+*   **Queue Status**: Displays the current status of submitted models (Pending, Running, Finished, Failed).
+*   **Automated Updates**: The system automatically fetches new results and updates the leaderboard.
+
+## 🛠️ Installation & Setup
+
+To run the leaderboard locally:
+
+1.  **Clone the repository:**
+    ```bash
+    git clone https://huggingface.co/spaces/qimma/Qimma-Leaderboard
+    cd Qimma-Leaderboard
+    ```
+
+2.  **Install dependencies:**
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3.  **Set up Environment Variables:**
+    You need a Hugging Face API token to access the datasets. Set the `HF_API_TOKEN` environment variable.
+    ```bash
+    export HF_API_TOKEN="your_token_here"
+    ```
+
+4.  **Run the application:**
+    ```bash
+    python app.py
+    ```
+    The app will be available at `http://localhost:7860`.
+
+## 📂 Code Structure
+
+The repository is organized into a frontend-backend architecture using FastAPI.
+
+### Backend (`/backend`)
+Handles data processing, API endpoints, and interaction with the Hugging Face Hub.
+
+*   **`app.py`**: The main entry point. Initializes the FastAPI app, sets up routes, and manages background tasks for data synchronization.
+*   **`backend/config.py`**: Configuration settings, including repository IDs and the list of evaluation tasks (`TASKS`).
+*   **`backend/data_loader.py`**: Responsible for downloading dataset snapshots and loading leaderboard/queue data from the Hugging Face Hub.
+*   **`backend/submission_handler.py`**: Logic for processing model submissions and validating input.
+*   **`backend/helpers.py`**: Utility functions for data manipulation.
+
+### Frontend (`/frontend`)
+Contains the HTML templates served by the application.
+
+*   **`index.html`**: The landing page displaying the main leaderboard.
+*   **`leaderboard.html`**: The table component for displaying model rankings.
+*   **`submit.html`**: The form for users to submit new models.
+*   **`about.html`**: Information about the project and methodology.
+*   **`header.html`**: Common header component used across pages.
+
+## ⚙️ Configuration
+
+The evaluation tasks and model types are defined in `backend/config.py`. You can modify the `TASKS` list to add or remove benchmarks.
+
+```python
+TASKS = [
+    ("community|alghafa:_average|0", "acc_norm", "AlGhafa"),
+    # ...
+]
+```