Update app.py

app.py

@@ -44,7 +44,7 @@ def predict_price(date: datetime ,room_count: int, address:str, surface: float ,
     print(rf_input)
     rf_pred = np.exp(rf.predict(rf_input)[0])
     predictions_all = np.array([tree.predict(rf_input) for tree in rf.estimators_])
-    std_predict = np.sqrt(np.var((predictions_all)))
+    std_predict = np.std((predictions_all))
     reliability_index = compute_reliability(std_predict)
     q1 = np.exp(np.quantile(predictions_all, 0.25))
     q2 = np.exp(np.quantile(predictions_all, 0.5))