Update app.py

app.py

@@ -143,14 +143,14 @@ def predict_volatility(date):
 
     point = xgb_model.predict(X_xgb)[0]
     dist = ngb_model.pred_dist(X_ngb)
-    low, high = dist.ppf([0.025, 0.975])[0]
+    low, high = dist.ppf([0.025, 0.975])
 
     # ---------------- FORECASTING (t+1) ----------------
     X_ngb_fore = df.iloc[-1:][forecast_ngb_features]
 
     for_point = forecast_ngb_model.predict(X_ngb_fore)[0]
     for_dist = forecast_ngb_model.pred_dist(X_ngb_fore)
-    for_low, for_high = for_dist.ppf([0.025, 0.975])[0]
+    for_low, for_high = for_dist.ppf([0.025, 0.975])
 
     return point, low, high, for_point, for_low, for_high