Update app.py

app.py

@@ -473,52 +473,7 @@ if mongo_uri and student_choice != "(All)" and source_choice != "(All)":
             for q in (summary.get("notable_quotes") or [])[:3]:
                 st.markdown(f"> {q}")
 
-# === Toggle for trend mode ===
-trend_mode = st.checkbox("Show Average Stage Trends", value=False)
-
-if trend_mode:
-    # Group by stage and average the skill group scores
-    stage_avg = df_final.groupby("stage")[list(SKILL_GROUPS.keys())].mean().reset_index()
-
-    # Radar plot for each stage
-    fig = go.Figure()
-    for _, row in stage_avg.iterrows():
-        stage_name = row["stage"]
-        values = row[list(SKILL_GROUPS.keys())].tolist()
-
-        fig.add_trace(go.Scatterpolar(
-            r=values,
-            theta=list(SKILL_GROUPS.keys()),
-            fill='toself',
-            name=stage_name
-        ))
-
-    fig.update_layout(
-        polar=dict(radialaxis=dict(visible=True, range=[0, 1])),
-        showlegend=True,
-        title="Average Skill Group Scores by Stage"
-    )
-
-# else:
-#     # Your existing per-student radar chart plotting code
-#     fig = go.Figure()
-#     for _, row in df_final.iterrows():
-#         values = row[list(SKILL_GROUPS.keys())].tolist()
 
-#         fig.add_trace(go.Scatterpolar(
-#             r=values,
-#             theta=list(SKILL_GROUPS.keys()),
-#             fill='toself',
-#             name=row["label"]
-#         ))
-
-#     fig.update_layout(
-#         polar=dict(radialaxis=dict(visible=True, range=[0, 1])),
-#         showlegend=True,
-#         title="Student Skill Radar"
-#     )
-
-st.plotly_chart(fig, use_container_width=True)
 
 # # app.py — Student Skill Radar (MongoDB, secrets-based, no CSV)
 # import os