Update app.py

app.py

@@ -10,12 +10,11 @@ from typing import Dict
 import json
 from leaderboard import (
     get_current_leaderboard,
-    update_leaderboard,
-    start_backup_thread,
-    get_leaderboard,
+    update_leaderboard, 
+    start_backup_thread, 
+    get_leaderboard, 
     get_elo_leaderboard,
-    ensure_elo_ratings_initialized,
-    get_archived_models_list
+    ensure_elo_ratings_initialized
 )
 import openai
 from collections import Counter
@@ -62,9 +61,7 @@ start_backup_thread()
 
 # Function to get available models (using predefined list)
 def get_available_models():
-    # Filter out models that have been archived
-    active_models = [model[0] for model in config.get_approved_models() if model[0] not in leaderboard.load_archived_models()]
-    return active_models
+    return [model[0] for model in config.get_approved_models()]
 
 # Function to get recent opponents for a model
 recent_opponents = {}
@@ -98,8 +95,7 @@ def call_ollama_api(model, prompt):
                     "content": prompt
                 }
             ],
-            timeout=180,
-            max_tokens=config.MAX_TOKENS
+            timeout=180
         )
         logger.info(f"Received response for model: {model}")
         
@@ -578,20 +574,6 @@ with gr.Blocks(css="""
             interactive=True,
             label="ELO Leaderboard"
         )
-
-    # Archived Models Tab
-    with gr.Tab("Archived Models"):
-        gr.Markdown("""
-        ### Archived Models
-        These models have reached the battle threshold and have been moved to the archive.
-        """)
-        archived_models_table = gr.Dataframe(
-            headers=["Model", "Wins", "Losses", "Total Battles", "Win Rate"],
-            row_count=10,
-            col_count=5,
-            interactive=True,
-            label="Archived Models"
-        )
     
     # Latest Updates Tab
     with gr.Tab("Latest Updates"):
@@ -644,11 +626,10 @@ with gr.Blocks(css="""
     # Update leaderboard on launch
     demo.load(get_leaderboard, outputs=leaderboard)
     demo.load(get_elo_leaderboard, outputs=elo_leaderboard)
-    demo.load(get_archived_models_list, outputs=archived_models_table)
 
 if __name__ == "__main__":
     # Initialize ELO ratings before launching the app
     ensure_elo_ratings_initialized()
     # Start the model refresh thread
-    # config.start_model_refresh_thread()
+    config.start_model_refresh_thread()
     demo.launch(show_api=False)