Update frontend.py

frontend.py

@@ -76,37 +76,45 @@ tab1, tab2 = st.tabs(["🧠 Analyze Review", "📚 Bulk Reviews"])
 with tab1:
     st.title("📊 ChurnSight AI — Product Feedback Assistant")
     st.markdown("Analyze feedback to detect churn risk, extract pain points, and support product decisions.")
+
     review = st.text_area("📝 Enter Customer Feedback", value=st.session_state.review, height=180)
     st.session_state.review = review
 
+    analyze = False  # ✅ define outside
     col1, col2, col3 = st.columns(3)
-    if col1.button("🔍 Analyze"):
-        st.session_state.trigger_example_analysis = False
-    if col2.button("🎲 Example"):
-        st.session_state.review = (
-            "The app crashes every time I try to checkout. It's so slow and unresponsive. "
-            "Customer support never replied. I'm switching to another brand."
-        )
-        st.session_state.trigger_example_analysis = True
-        st.rerun()
-    if col3.button("🧹 Clear"):
-        for key in ["review", "last_response", "followup_answer"]:
-            st.session_state[key] = ""
-        st.rerun()
+    with col1:
+        analyze = st.button("🔍 Analyze")
+    with col2:
+        if st.button("🎲 Example"):
+            st.session_state.review = (
+                "The app crashes every time I try to checkout. It's so slow and unresponsive. "
+                "Customer support never replied. I'm switching to another brand."
+            )
+            st.session_state.trigger_example_analysis = True
+            st.rerun()
+    with col3:
+        if st.button("🧹 Clear"):
+            for key in ["review", "last_response", "followup_answer"]:
+                st.session_state[key] = ""
+            st.rerun()
 
     if st.session_state.review and (analyze or st.session_state.trigger_example_analysis):
         with st.spinner("Analyzing feedback..."):
             try:
+                model_used = (
+                    None if sentiment_model == "Auto-detect"
+                    else sentiment_model
+                )
                 payload = {
                     "text": st.session_state.review,
-                    "model": "distilbert-base-uncased-finetuned-sst-2-english" if sentiment_model == "Auto-detect" else sentiment_model,
+                    "model": model_used or "distilbert-base-uncased-finetuned-sst-2-english",
                     "industry": industry,
                     "product_category": product_category,
                     "verbosity": verbosity,
                     "aspects": use_aspects,
                     "intelligence": st.session_state.intelligence_mode
                 }
-                headers = {"x-api-key": api_token}
+                headers = {"x-api-key": st.session_state.get("api_token", "my-secret-key")}
                 res = requests.post(f"{backend_url}/analyze/", json=payload, headers=headers)
                 if res.ok:
                     st.session_state.last_response = res.json()
@@ -178,6 +186,7 @@ with tab1:
             except Exception as e:
                 st.error(f"Trend error: {e}")
 
+
 # === BULK REVIEW ANALYSIS ===
 with tab2:
     st.title("📚 Bulk Feedback Analysis")