update

app.py

@@ -4,6 +4,7 @@ import pandas as pd
 from apscheduler.schedulers.background import BackgroundScheduler
 from huggingface_hub import snapshot_download
 import plotly.graph_objects as go
+import plotly.express as px
 from src.about import (
     CITATION_BUTTON_LABEL,
     CITATION_BUTTON_TEXT,
@@ -68,6 +69,19 @@ ASSET_LEADERBOARD_DF = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH,
 ) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
 
 
+def init_asset_plot(df):
+    acc_col = 'Average ⬆️'
+    df = df.sort_values(acc_col).tail(4)
+    fig = px.line_polar(df, r='r', theta='theta', line_close=True)
+    fig.update_traces(fill='toself')
+    fig.update_layout(
+        autosize=False,
+        width=650,
+        height=600,
+        title=f"Accuracy per Asset"
+    )
+    return fig
+
 def init_perf_plot(df):
     df = df.copy()
     params_col = '#Params (B)'
@@ -146,7 +160,8 @@ with demo:
             # gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
             with gr.Row():
                 perf_plot = gr.components.Plot(
-                    value=init_perf_plot(LEADERBOARD_DF),
+                    # value=init_perf_plot(LEADERBOARD_DF),
+                    value=init_asset_plot(ASSET_LEADERBOARD_DF)
                     elem_id="bs1-plot",
                     show_label=False,
                 )