Update app.py

app.py

@@ -15,7 +15,7 @@ from my_waterfall import my_waterfall
 
 def make_prediction(age, arrythmia_duration_radio,TEE_base_rythm_radio,HF_status_radio, NYHA_radio,EF, LA_dimension,LAVI,):
     plt.clf()
-    names=["Age", "Arrhythmia type", "Rhytm", "Heart failure", "NYHA class", "LVEF", "LA dimension", "LAVI"]
+    names=['Age', 'arrythmia_duration', 'LA_dimension', 'LAVI', 'NYHA', 'HF_status', 'TEE_base_rythm', 'EF']
     with open("LATAI_reduced_model.pickle", "rb") as f:
         clf  = pickle.load(f)
         #print(arrythmia_duration_radio)