Turn off logging v2

app.py

@@ -10,8 +10,8 @@ model = load("model.joblib")
 
 session = st.session_state
 
-if 'df' not in session:
-    session.df = pd.read_csv("model_log.csv").drop_duplicates()
+# if 'df' not in session:
+#    session.df = pd.read_csv("model_log.csv").drop_duplicates()
 
 if 'user_id' not in session:
     session.user_id = random.randint(1, 1_000_000)
@@ -69,20 +69,20 @@ if st.button("Calculate my chances of survival"):
     
     st.write(f"Probabilty of survival: {round(prediction_proba, 2)* 100}%.")
 
-    passenger_data['user_id'] = session.user_id
-    passenger_data['date'] = str(datetime.now())
-    passenger_data["survived"] = prediction
-    passenger_data["survival_prob"] = prediction_proba
+    # passenger_data['user_id'] = session.user_id
+    # passenger_data['date'] = str(datetime.now())
+    # passenger_data["survived"] = prediction
+    # passenger_data["survival_prob"] = prediction_proba
     
-    session.df = pd.concat(
-        [
-            session.df,
-            pd.DataFrame([passenger_data])
-        ],
-        ignore_index=True
-        )
+    # session.df = pd.concat(
+    #    [
+    #        session.df,
+    #        pd.DataFrame([passenger_data])
+    #    ],
+    #    ignore_index=True
+    #    )
     
-    session.df.drop_duplicates().to_csv('model_log.csv', mode="a", header=False, index=False)
+    # session.df.drop_duplicates().to_csv('model_log.csv', mode="a", header=False, index=False)
 
 # session.df = pd.read_csv("model_log.csv")
 # session.df = session.df.drop_duplicates()