Update app.py

app.py

@@ -13,11 +13,14 @@ def predict_energy(f0,f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13):
     # if f0 is not None: 
     #     if f= == "Custom LSTM":      
     
-    weather_input_array = np.array([f1,f2,f3,f4,f5,f6]).reshape(1,-1)
+    weather_input_array = [f1,f2,f3,f4,f5,f6]
+    history_input_array =[f7,f8,f9,f10,f11,f12,f13]
+
+    weather_input_array = np.array(weather_input).reshape(1,-1)
+    history_input_array = np.array(history_input).reshape(1,-1)
 
     scaler = load("scaler.joblib")
     scaled_weather_input_array = scaler.transform(weather_input_array)
-    history_input_array = np.array([f7,f8,f9,f10,f11,f12,f13])
     input_feature = np.concatenate((scaled_weather_input_array[0],history_input_array[0]))
     
     model = load_model('history_7_future_1.h5')