Delete app.py

app.py

@@ -1,115 +0,0 @@
-"""
-Main application for Dynamic Highscores system.
-
-This file integrates all components into a unified application.
-"""
-
-import os
-import gradio as gr
-import threading
-import queue
-from database_schema import init_db
-from auth import HuggingFaceAuth, create_login_ui, setup_auth_handlers
-from benchmark_selection import BenchmarkSelector, create_benchmark_selection_ui
-from evaluation_queue import EvaluationQueue, create_model_submission_ui
-from leaderboard import Leaderboard, create_leaderboard_ui
-from sample_benchmarks import add_sample_benchmarks
-
-# Initialize database
-db = init_db()
-
-# Initialize components
-auth_manager = HuggingFaceAuth(db)
-benchmark_selector = BenchmarkSelector(db, auth_manager)
-evaluation_queue = EvaluationQueue(db, auth_manager)
-leaderboard = Leaderboard(db)
-
-# Initialize sample benchmarks if none exist
-benchmarks = db.get_benchmarks()
-if not benchmarks or len(benchmarks) == 0:
-    print("No benchmarks found. Adding sample benchmarks...")
-    num_added = add_sample_benchmarks()
-    print(f"Added {num_added} sample benchmarks.")
-
-# Custom CSS
-css = """
-.info-text {
-    background-color: #f0f7ff;
-    padding: 12px;
-    border-radius: 8px;
-    border-left: 4px solid #3498db;
-    margin: 12px 0;
-}
-
-.container {
-    max-width: 1200px;
-    margin: 0 auto;
-}
-
-.header {
-    text-align: center;
-    margin-bottom: 20px;
-}
-
-.footer {
-    text-align: center;
-    margin-top: 40px;
-    padding: 20px;
-    border-top: 1px solid #eee;
-}
-"""
-
-# Create Gradio app
-with gr.Blocks(css=css, title="Dynamic Highscores") as app:
-    gr.Markdown("# 🏆 Dynamic Highscores", elem_classes=["header"])
-    gr.Markdown("""
-    Welcome to Dynamic Highscores - a community benchmark platform for evaluating and comparing language models.
-    
-    - **Add your own benchmarks** from HuggingFace datasets
-    - **Submit your models** for CPU-only evaluation
-    - **Compare performance** across different models and benchmarks
-    - **Filter results** by model type (Merge, Agent, Reasoning, Coding, etc.)
-    """, elem_classes=["info-text"])
-    
-    # Authentication UI
-    login_button, logout_button, token_input, user_info = create_login_ui()
-    setup_auth_handlers(login_button, logout_button, token_input, user_info, auth_manager)
-    
-    # Main tabs
-    with gr.Tabs() as tabs:
-        with gr.TabItem("📊 Leaderboard", id=0):
-            # Fix: Pass db_manager parameter to create_leaderboard_ui
-            leaderboard_ui = create_leaderboard_ui(leaderboard, db)
-        
-        with gr.TabItem("🚀 Submit Model", id=1):
-            submission_ui = create_model_submission_ui(evaluation_queue, auth_manager, db)
-        
-        with gr.TabItem("🔍 Benchmarks", id=2):
-            benchmark_ui = create_benchmark_selection_ui(benchmark_selector, auth_manager)
-    
-    gr.Markdown("""
-    ### About Dynamic Highscores
-    
-    This platform allows users to select benchmarks from HuggingFace datasets and evaluate models against them.
-    Each user can submit one benchmark per day (admin users are exempt from this limit).
-    All evaluations run on CPU only to ensure fair comparisons.
-    
-    Created by Quazim0t0
-    """, elem_classes=["footer"])
-
-# Start evaluation queue worker after app is defined
-# This prevents the worker from starting before the app is fully initialized
-def start_queue_worker():
-    # Wait a moment to ensure app is initialized
-    import time
-    time.sleep(2)
-    evaluation_queue.start_worker()
-
-# Launch the app
-if __name__ == "__main__":
-    # Start queue worker in a separate thread to avoid SQLite thread issues
-    queue_thread = threading.Thread(target=start_queue_worker)
-    queue_thread.daemon = True
-    queue_thread.start()
-    
-    app.launch()