Update app.py

app.py

@@ -26,7 +26,7 @@ df["Diabetes"] = df["Outcome"].apply(lambda x: "Diabetic" if x == 1 else "Not_Di
 df["BMI"] = df["BMI"].apply(lambda x: df.BMI.mean() if x > 40 else x)
 
 from pycaret.classification import *
-print("1")
+print("Hello 1")
 Diab = setup(data = df,target = 'Diabetes',normalize=True, session_id=1,fix_imbalance = True)
 print("2")
 #Diab = setup(data=df,target="Diabetes",normalize=True,session_id=1,fix_imbalance=True,numeric_features=["Pregnancies"],log_experiment=True,experiment_name="diabetes",ignore_features=["Outcome"]