Update app.py

app.py

@@ -612,19 +612,27 @@ def run_detailed_comparison():
                 # Filter out columns with incomplete data to avoid inconsistencies between theta and r
                 plot_df = df.dropna(subset=["Metric", "Value", "Method"])
 
-                # Ensure the transformation is correct
-                plot_df = plot_df.astype({"Metric": str, "Value": float, "Method": str})
-
-                # Use bar_polar to avoid wiring errors
+                # # Convert wide-format to long-format
+                plot_df = metrics_df.melt(
+                    id_vars=["metrics"],
+                    value_vars=["Traditional RAG", "Ontology-Enhanced RAG"],
+                    var_name="Method",
+                    value_name="Value"
+                )
+                
+                # Type confirmation (optional but stable)
+                plot_df = plot_df.astype({"metrics": str, "Value": float, "Method": str})
+                
+                # draw bar_polar graph
                 fig = px.bar_polar(
-                plot_df,
-                r="Value",
-                theta="Metric",
-                color="Method",
-                title="Context Quality Assessment (Polar View)",
-                color_discrete_sequence=px.colors.qualitative.Set2
+                    plot_df,
+                    r="Value",
+                    theta="metrics",
+                    color="Method",
+                    title="Context Quality Assessment (Polar View)",
+                    color_discrete_sequence=px.colors.qualitative.Set2
                 )
-
+                
                 fig.update_layout(polar=dict(radialaxis=dict(visible=True)), showlegend=True)
                 st.plotly_chart(fig, use_container_width=True)