Deploy Streamlit Space app

app.py

@@ -1667,8 +1667,29 @@ with tab_task5:
 
     if freq_table:
         st.markdown("#### Bias Pattern Frequency")
+        freq_rows = []
+        for pattern, value in freq_table.items():
+            if isinstance(value, dict):
+                for sub_pattern, sub_value in value.items():
+                    try:
+                        count_val = float(sub_value)
+                    except (TypeError, ValueError):
+                        count_val = 0.0
+                    freq_rows.append(
+                        {
+                            "pattern": f"{pattern}::{sub_pattern}",
+                            "count": count_val,
+                        }
+                    )
+            else:
+                try:
+                    count_val = float(value)
+                except (TypeError, ValueError):
+                    count_val = 0.0
+                freq_rows.append({"pattern": str(pattern), "count": count_val})
+
         st.dataframe(
-            [{"pattern": k, "count": int(v)} for k, v in sorted(freq_table.items(), key=lambda kv: kv[1], reverse=True)],
+            sorted(freq_rows, key=lambda row: row["count"], reverse=True),
             use_container_width=True,
         )