Update frontend.py

frontend.py

@@ -72,7 +72,6 @@ def speak(text, lang='en'):
 
 tab1, tab2 = st.tabs(["🧠 Analyze Review", "📚 Bulk Reviews"])
 
-# === SINGLE REVIEW ANALYSIS ===
 # === SINGLE REVIEW ANALYSIS ===
 with tab1:
     st.title("📊 ChurnSight AI — Product Feedback Assistant")
@@ -81,9 +80,8 @@ with tab1:
     review = st.text_area("📝 Enter Customer Feedback", value=st.session_state.review, height=180)
     st.session_state.review = review
 
-    analyze = False  # ✅ Flag to track if analyze was clicked
+    analyze = False
     col1, col2, col3 = st.columns(3)
-
     with col1:
         analyze = st.button("🔍 Analyze")
     with col2:
@@ -100,7 +98,7 @@ with tab1:
                 st.session_state[key] = ""
             st.rerun()
 
-    if st.session_state.review and (analyze or st.session_state.trigger_example_analysis):
+    if st.session_state.review and (analyze or st.session_state.get("trigger_example_analysis")):
         with st.spinner("Analyzing feedback..."):
             try:
                 model_used = None if sentiment_model == "Auto-detect" else sentiment_model
@@ -111,7 +109,7 @@ with tab1:
                     "product_category": product_category,
                     "verbosity": verbosity,
                     "aspects": use_aspects,
-                    "intelligence": st.session_state.intelligence_mode
+                    "intelligence": st.session_state.get("intelligence_mode", False)
                 }
                 headers = {"x-api-key": st.session_state.get("api_token", "my-secret-key")}
                 res = requests.post(f"{backend_url}/analyze/", json=payload, headers=headers)
@@ -174,7 +172,6 @@ with tab1:
                     "question": q_input,
                     "verbosity": verbosity
                 }
-                headers = {"x-api-key": st.session_state.get("api_token", "my-secret-key")}
                 res = requests.post(f"{backend_url}/followup/", json=follow_payload, headers=headers)
                 if res.ok:
                     st.success(res.json().get("answer"))