fix sorting

app.py

@@ -89,17 +89,18 @@ def get_benchmark_df(benchmark="1xA100-80GB"):
 
 
 def get_benchmark_table(bench_df):
-    # filter
-    bench_df = bench_df[list(COLUMNS_MAPPING.keys())]
-    # rename
-    bench_df.rename(columns=COLUMNS_MAPPING, inplace=True)
     # sort based on composite score made by adding score, -latency, -memory each normalized to values between 0 and 1
     normalized_score =(bench_df["score"]-bench_df["score"].min())/(bench_df["score"].max()-bench_df["score"].min())
     normalized_latency = (bench_df["generate.latency(s)"].max()-bench_df["generate.latency(s)"])/(bench_df["generate.latency(s)"].max()-bench_df["generate.latency(s)"].min())
     normalized_memory = (bench_df["forward.peak_memory(MB)"].max()-bench_df["forward.peak_memory(MB)"])/(bench_df["forward.peak_memory(MB)"].max()-bench_df["forward.peak_memory(MB)"].min())
     bench_df["composite_score"] = normalized_score + normalized_latency + normalized_memory
     bench_df.sort_values(by=["composite_score"], ascending=False, inplace=True)
-    
+
+    # filter
+    bench_df = bench_df[list(COLUMNS_MAPPING.keys())]
+    # rename
+    bench_df.rename(columns=COLUMNS_MAPPING, inplace=True)
+
     # transform
     bench_df["Model 🤗"] = bench_df["Model 🤗"].apply(make_clickable_model)
     bench_df["#️⃣ Parameters 📏"] = bench_df["#️⃣ Parameters 📏"].apply(num_to_str)