fix

app.py

@@ -132,9 +132,18 @@ def main():
 
                     best_hotkey = winning_hotkeys.idxmax()
 
-                    # get the best model with the winning hotkey
-                    best_model = model_evaluations[competition][model_evaluations[competition]["Hotkey"] == best_hotkey].iloc[0]
-                    st.session_state.leader_info[competition] = update_leader_info(st.session_state.leader_info, competition, best_model)
+                    # Filter models for the best hotkey
+                    best_model_filtered = model_evaluations[competition][model_evaluations[competition]["Hotkey"] == best_hotkey]
+
+                    # Check if the filtered DataFrame is not empty
+                    if not best_model_filtered.empty:
+                        best_model = best_model_filtered.iloc[0]
+                        st.session_state.leader_info[competition] = update_leader_info(st.session_state.leader_info, competition, best_model)
+                    else:
+                        st.warning(f"No model found for the best hotkey: {best_hotkey} in competition {competition}.")
+                    # # get the best model with the winning hotkey
+                    # best_model = model_evaluations[competition][model_evaluations[competition]["Hotkey"] == best_hotkey].iloc[0]
+                    # st.session_state.leader_info[competition] = update_leader_info(st.session_state.leader_info, competition, best_model)
             else:
                 st.session_state.leader_info[competition] = {
                     "Username": "N/A", "Hotkey": "N/A",

playground.py

@@ -1,16 +0,0 @@
-# test idxmax() function
-
-import pandas as pd
-
-# Create a sample dataframe
-data = {
-    "A": [1, 2, 3, 4, 5],
-    "B": [10, 20, 30, 40, 50],
-    "C": [100, 200, 300, 400, 500]
-}
-
-df = pd.DataFrame(data)
-
-# Find the index of the row with the maximum value in column "A"
-max_index = df["A"].idxmax()
-print(f"Index of the row with the maximum value in column 'A': {max_index}")