round latency

app.py

@@ -11,6 +11,9 @@ import assets.text_content as tc
 text_leaderboard = pd.read_csv(os.path.join('assets', 'merged_data.csv'))
 text_leaderboard = text_leaderboard.sort_values(by=tc.CLEMSCORE, ascending=False)  
 
+# When displaying latency values
+text_leaderboard[tc.LATENCY] = text_leaderboard[tc.LATENCY].round(3)
+
 open_weight_df = text_leaderboard[text_leaderboard[tc.OPEN_WEIGHT] == True]
 if not open_weight_df.empty:  # Check if filtered df is non-empty
     max_parameter_size = open_weight_df[tc.PARAMS].max()
@@ -51,7 +54,7 @@ licenses.sort()
 
 max_input_price = max(ip_prices)
 max_output_price = max(op_prices)
-max_latency = max(latencies)
+max_latency = text_leaderboard[tc.LATENCY].max().round(3)
 
 min_parameters = 0 if pd.isna(min(parameters)) else min(parameters)
 max_parameter = max_parameter_size