Update app.py

app.py

@@ -63,29 +63,9 @@ st.markdown("""
 # 3. ENHANCED DATA LOADING
 @st.cache_data(ttl=300)
 def load_data():
-    try:
-        df = pd.read_csv('analyzed_aadhaar_data.csv')
-        st.toast("✅ Data loaded successfully", icon="✅")
-    except FileNotFoundError:
-        st.toast("📊 Generating sample data...", icon="ℹ️")
-        dates = pd.date_range(start="2024-10-01", periods=300, freq='D')
-        districts = ['North District', 'South Region', 'East Zone', 'West End', 'Central Hub', 
-                     'Rural A', 'Urban B', 'Coastal District', 'Mountain Region', 'Valley Area']
-        df = pd.DataFrame({
-            'date': np.random.choice(dates, 300),
-            'state': np.random.choice([
-                'Maharashtra', 'Uttar Pradesh', 'Bihar', 'Karnataka', 'Delhi', 'West Bengal', 
-                'Kerala', 'Assam', 'Rajasthan', 'Gujarat', 'Tamil Nadu', 'Madhya Pradesh', 
-                'Telangana', 'Punjab', 'Haryana', 'Andhra Pradesh', 'Odisha', 'Chhattisgarh'
-            ], 300),
-            'district': np.random.choice(districts, 300),
-            'pincode': np.random.randint(110001, 800000, 300),
-            'RISK_SCORE': np.random.beta(2, 5, 300) * 100,
-            'total_activity': np.random.gamma(4, 50, 300).astype(int),
-            'enrol_adult': np.random.gamma(3, 30, 300).astype(int),
-            'ratio_deviation': np.random.normal(0, 0.2, 300),
-            'is_weekend': np.random.choice([0, 1], 300, p=[0.72, 0.28])
-        })
+    # Strictly load data from CSV
+    df = pd.read_csv('analyzed_aadhaar_data.csv')
+    # Removed st.toast from inside cached function to prevent CacheReplayClosureError
 
     if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
     
@@ -147,7 +127,10 @@ def load_data():
     df['risk_category'] = pd.cut(df['RISK_SCORE'], bins=[-1, 50, 75, 85, 100], labels=['Low', 'Medium', 'High', 'Critical'])
     return df
 
-with st.spinner('Loading S.T.A.R.K AI System...'): df = load_data()
+with st.spinner('Loading S.T.A.R.K AI System...'): 
+    df = load_data()
+    # Toast moved outside cached function
+    # st.toast("✅ Data loaded successfully", icon="✅") 
 
 # 4. SIDEBAR & FILTERS
 with st.sidebar: