Update app.py

app.py

@@ -106,9 +106,7 @@ rf_model = RandomForestClassifier(n_estimators=50, random_state=42, n_jobs=-1)
 rf_model.fit(X_train, y_train)
 
 # Isolation Forest Anomaly Detection Model (memory-efficient)
-isolation_forest = IsolationForest(contamination=0.1, random_state=42, n_jobs=-1, max_samples=100)
-isolation_forest.fit(X_train)
-
+isolation_forest = IsolationForest(contamination=0.1, random_state=42, n_jobs=-1, max_samples='auto')
 # Enhanced Emotional States
 emotions = {
     'joy': {'percentage': 10, 'motivation': 'positive', 'intensity': 0},