filter outliers from plot

app.py

@@ -66,6 +66,8 @@ def get_benchmark_plot(benchmark):
     scores_df = pd.read_csv(
         f"./llm-perf-dataset/reports/additional_data.csv")
     bench_df = bench_df.merge(scores_df, on="model", how="left")
+    
+    bench_df = bench_df[bench_df["generate.latency(s)"] < 100]
 
     fig = px.scatter(
         bench_df, x="h4_score", y="generate.latency(s)",
@@ -91,6 +93,7 @@ def get_benchmark_plot(benchmark):
             y=-0.15,
             x=0.5
         ),
+        height=800,
     )
     
     fig.update_traces(