Update app.py

app.py

@@ -27,10 +27,9 @@ df["BMI"] = df["BMI"].apply(lambda x: df.BMI.mean() if x > 40 else x)
 
 from pycaret.classification import *
 print("Hello 1")
-Diab = setup(data = df,target = 'Diabetes',normalize=True, session_id=1,fix_imbalance = True)
+#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"]
-#)
+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"],silent=True)
 
 best = compare_models(n_select=15)
 compare_model_results = pull()