Update app.py

app.py

@@ -95,26 +95,27 @@ with col2:
 st.markdown("---")
 st.title("📊 Violation Analysis Dashboard")
 if st.session_state.history:
-    df = pd.DataFrame(st.session_state.history)
-    # 饼图
-    label_counts = df["label"].value_counts().reset_index()
-    label_counts.columns = ["Category", "Count"]
-    fig = px.pie(label_counts, names="Category", values="Count", title="Offensive Category Distribution")
-    st.plotly_chart(fig)
-
     st.markdown("### 🧾 Offensive Terms & Suggestions")
     for item in st.session_state.history:
         st.markdown(f"- 🔹 **Input:** {item['text']}")
         st.markdown(f"   - ✨ **Translated:** {item['translated']}")
         st.markdown(f"   - ❗ **Label:** {item['label']} with **{item['score']:.2%}** confidence")
-        st.markdown(f"   - 🔧 **Suggestion:** {item['reason']}")
+        st.markdown(f"   - 🔧 **Suggestion:** {item['reason']}  ")
 
     # 雷达图演示示例（可替换为动态数据）
     radar_df = pd.DataFrame({
         "Category": ["Insult", "Abuse", "Discrimination", "Hate Speech", "Vulgarity"],
         "Score": [0.7, 0.4, 0.3, 0.5, 0.6]
     })
-    radar_fig = px.line_polar(radar_df, r='Score', theta='Category', line_close=True, title="⚠️ Risk Radar by Category")
+    radar_fig = px.line_polar(
+        radar_df,
+        r='Score',
+        theta='Category',
+        line_close=True,
+        title="⚠️ Risk Radar by Category",
+        color_discrete_sequence=['yellow'],
+        template='simple_white'
+    )
     st.plotly_chart(radar_fig)
 else:
-    st.info("⚠️ No classification data available yet.")
+    st.info("⚠️ No classification data available yet.")