Plot also radar

app.py

@@ -63,7 +63,9 @@ with gr.Blocks(fill_height=True, fill_width=True, css=".col_heading {width: 50%}
                 visible=False,
             )
             hide_std_errors = gr.Checkbox(label="Hide Standard Errors", value=True, info="Options")
-            results_plot = gr.Plot()
+            with gr.Row():
+                results_plot_1 = gr.Plot(visible=True)
+                results_plot_2 = gr.Plot(visible=True)
             results = gr.HTML()
             results_dataframe_1 = gr.Dataframe(visible=False)
             results_dataframe_2 = gr.Dataframe(visible=False)
@@ -158,7 +160,7 @@ with gr.Blocks(fill_height=True, fill_width=True, css=".col_heading {width: 50%}
     ).then(
         fn=plot_results,
         inputs=[results_task, results_dataframe_1, results_dataframe_2],  # results,
-        outputs=results_plot,
+        outputs=[results_plot_1, results_plot_2],
     )
     gr.on(
         triggers=[clear_results_btn.click, clear_configs_btn.click],

src/results.py

@@ -2,6 +2,7 @@ import asyncio
 
 import gradio as gr
 import pandas as pd
+import plotly.express as px
 
 import src.constants as constants
 from src.constants import TASKS
@@ -181,11 +182,20 @@ def plot_results(task, *dfs):
                 df = df.rename(columns=lambda col: col.split(".")[2].removesuffix(",none"))
             else:
                 df = df.rename(columns=lambda col: tasks.get(col.split(".")[1], subtasks.get(col.split(".")[1])))
-        fig = df.T.rename_axis(columns="Model").plot.bar(
-            backend="plotly",
+        fig_1 = px.bar(
+            df.T.rename_axis(columns="Model"),
             barmode="group",
             labels={"index": "Benchmark" if task == "All" else "Subtask", "value": "Score"},
             color_discrete_sequence=["#FF9D00", "#32343D"],
         )
-        fig.update_yaxes(range=[0, 1])
-        return fig
+        fig_1.update_yaxes(range=[0, 1])
+        fig_2 = px.line_polar(
+            df.melt(ignore_index=False, var_name="Benchmark", value_name="Score").reset_index(names="Model"),
+            r="Score", theta="Benchmark", color="Model",
+            line_close=True,
+            range_r=[0, 1],
+            color_discrete_sequence=["#FF9D00", "#32343D"],
+        )
+        return fig_1, fig_2
+    else:
+        return None, None