transform energy tokens to int

app.py

@@ -84,9 +84,9 @@ def get_benchmark_df(benchmark="Succeeded-1xA100-80GB"):
         clusters_df, left_on="model", right_on="best_scored_model"
     )
     # transpose energy consumption
-    merged_df["generate.energy_consumption(tokens/kWh)"] = 1 / merged_df[
-        "generate.energy_consumption(kWh/token)"
-    ].fillna(1)
+    merged_df["generate.energy_consumption(tokens/kWh)"] = (
+        1 / merged_df["generate.energy_consumption(kWh/token)"].fillna(1)
+    ).astype(int)
     # fix nan values
     merged_df.loc[
         merged_df["generate.energy_consumption(tokens/kWh)"] == 1,