app.py updated

app.py

@@ -13,9 +13,10 @@ def predict(gender, bmi, asthma, glucose, pulse):
     if asthma is True:
         asthma_val = 1
 
+    # Hardcoded Values are the mean of the training_data.csv
     pred_data = {
         "id": 0,
-        "rcount": train_data['rcount'].mean(),
+        "rcount": 1.1178,
         "gender": gender_char,
         "dialysisrenalendstage": False,
         "asthma": asthma_val,
@@ -30,13 +31,13 @@ def predict(gender, bmi, asthma, glucose, pulse):
         "hemo": False,
         "hematocrit": False,
         "neutrophils": False,
-        "sodium": train_data['sodium'].mean(),
+        "sodium": 137.89369109187714,
         "glucose": glucose,
-        "bloodureanitro": train_data['bloodureanitro'].mean(),
-        "creatinine": train_data['creatinine'].mean(),
+        "bloodureanitro": 14.101120748294186,
+        "creatinine": 1.0994443932147715,
         "bmi": bmi,
         "pulse": pulse,
-        "respiration": train_data['respiration'].mean(),
+        "respiration": 6.491511666666584,
         "secondarydiagnosisnonicd9": 0,
         "facid": 0
     }