Update app.py

app.py

@@ -5,7 +5,11 @@ from collections import defaultdict
 from gradio_leaderboard import Leaderboard, SelectColumns
 
 # Load the DataFrame from the CSV file for detailed pass@k metrics
-df = pd.read_csv('results.csv')
+df = pd.read_csv('detailed_results.csv')
+
+# Ensure 'Model' and 'Scenario' columns are strings
+df['Model'] = df['Model'].astype(str)
+df['Scenario'] = df['Scenario'].astype(str)
 
 # Function to estimate pass@k
 def estimate_pass_at_k(num_samples, num_correct, k):
@@ -50,8 +54,8 @@ def init_leaderboard(dataframe):
     )
 
 # Gradio interface
-models = df['Model'].unique()
-scenarios = df['Scenario'].unique()
+models = df['Model'].unique().tolist()
+scenarios = df['Scenario'].unique().tolist()
 
 demo = gr.Blocks()