Update app.py

app.py

@@ -42,26 +42,6 @@ WRITING_STYLE_COLS = ['#P', 'Model', 'Reg+MyScore 🏆', 'Reg+Int 🏆', 'MyScor
 ANIME_RATING_COLS = ['#P', 'Model', 'Score 🏆', 'Dif', 'Cor', 'Std']
 
 # Load the leaderboard data from a CSV file
-def load_leaderboard_data(csv_file_path):
-    try:
-        df = pd.read_csv(csv_file_path)
-        df['Model'] = df.apply(lambda row: f'<a href="{row["Link"]}" target="_blank" style="color: blue; text-decoration: none;">{row["Model"]}</a>' if pd.notna(row["Link"]) else row["Model"], axis=1)
-        df.drop(columns=['Link'], inplace=True)
-        
-        # Round numeric columns to 3 decimal places
-        numeric_columns = df.select_dtypes(include=[np.number]).columns
-        df[numeric_columns] = df[numeric_columns].round(3)
-        
-        # Round the W/10 column to 1 decimal place
-        if 'W/10 👍' in df.columns:
-            df['W/10 👍'] = df['W/10 👍'].round(1)
-        
-        return df
-    except Exception as e:
-        print(f"Error loading CSV file: {e}")
-        return pd.DataFrame(columns=UGI_COLS + WRITING_STYLE_COLS + ANIME_RATING_COLS)
-
-# Update the leaderboard table based on the search query and parameter range filters
 def update_table(df: pd.DataFrame, query: str, param_ranges: list, w10_range: list, columns: list) -> pd.DataFrame:
     filtered_df = df.copy()
     if param_ranges: