Update frontend.py

frontend.py

@@ -42,7 +42,7 @@ with st.sidebar:
         "Web", "Android", "iOS", "Desktop", "Smartwatch", "Kiosk"
     ])
 
-    use_aspects = st.checkbox("📈 Enable Aspect-Based Analysis")
+    use_aspects = st.checkbox("📊 Enable Aspect-Based Analysis")
     use_smart_summary = st.checkbox("🧠 Use Smart Summary (clustered key points)")
     use_smart_summary_bulk = st.checkbox("🧠 Smart Summary for Bulk CSV")
 
@@ -78,7 +78,7 @@ with tab1:
             st.session_state["review"] = "App was smooth, but the transaction failed twice on Android."
             st.rerun()
     with col3:
-        if st.button("🧹 Clear"):
+        if st.button("🕹️ Clear"):
             st.session_state["review"] = ""
             st.rerun()
 
@@ -109,11 +109,11 @@ with tab1:
                     st.metric("📊 Sentiment", data["sentiment"]["label"], delta=f"{data['sentiment']['score']:.2%}")
                     st.info(f"💢 Emotion: {data['emotion']}")
                     if data.get("aspects"):
-                        st.subheader("🔬 Aspects")
+                        st.subheader("🔍 Aspects")
                         for a in data["aspects"]:
                             st.write(f"🔹 {a['aspect']}: {a['sentiment']} ({a['score']:.2%})")
                     if data.get("follow_up"):
-                        st.subheader("🤖 Follow-Up Response")
+                        st.subheader("🧠 Follow-Up Response")
                         st.warning(data["follow_up"])
                 else:
                     st.error(f"❌ API Error: {res.status_code}")
@@ -132,7 +132,7 @@ with tab2:
 
                 for col in ["industry", "product_category", "device"]:
                     if col not in df.columns:
-                        df[col] = [""] * len(df)
+                        df[col] = ["Generic" if col == "industry" else ""] * len(df)
                     df[col] = df[col].fillna("").astype(str)
 
                 if st.button("📊 Analyze Bulk Reviews"):