Update frontend.py

frontend.py

@@ -1,5 +1,3 @@
-# [STREAMLIT FRONTEND - Product Feedback AI Assistant]
-
 import streamlit as st
 import requests
 import pandas as pd
@@ -9,7 +7,7 @@ from io import BytesIO
 import os
 import plotly.express as px
 
-st.set_page_config(page_title="PM Feedback Assistant", page_icon="🧠", layout="wide")
+st.set_page_config(page_title="ChurnSight AI", page_icon="🧠", layout="wide")
 
 if os.path.exists("logo.png"):
     st.image("logo.png", width=180)
@@ -84,8 +82,8 @@ tab1, tab2 = st.tabs(["🧠 Analyze Review", "📚 Bulk Reviews"])
 
 # === SINGLE REVIEW ===
 with tab1:
-    st.title("📊 Product Feedback AI Assistant")
-    st.markdown("Get insights from real user feedback to reduce churn and improve product strategy.")
+    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
@@ -145,7 +143,6 @@ with tab1:
             color = "🔴" if risk == "High Risk" else "🟢"
             st.metric("🚨 Churn Risk", f"{color} {risk}")
 
-        
         if "pain_points" in data and data["pain_points"]:
             st.error("🔍 Pain Points: " + ", ".join(data["pain_points"]))