Deploy PyCaret model baseline_dt_20250426_212853.pkl with fixed indentation

app.py

@@ -79,19 +79,19 @@ else:
     # --- Input Section ---
     st.header("Model Inputs")
     with st.form("prediction_form"):
-        # Dynamically generated widgets based on schema
+        # Dynamically generated widgets based on schema (now with correct indentation)
         input_PassengerId = st.number_input(label='PassengerId', format='%f', key='input_PassengerId')
-            input_Pclass = st.number_input(label='Pclass', format='%f', key='input_Pclass')
-            input_Name = st.number_input(label='Name', format='%f', key='input_Name')
-            input_Sex = st.number_input(label='Sex', format='%f', key='input_Sex')
-            input_Age = st.number_input(label='Age', format='%f', key='input_Age')
-            input_SibSp = st.number_input(label='SibSp', format='%f', key='input_SibSp')
-            input_Parch = st.number_input(label='Parch', format='%f', key='input_Parch')
-            input_Ticket = st.number_input(label='Ticket', format='%f', key='input_Ticket')
-            input_Fare = st.number_input(label='Fare', format='%f', key='input_Fare')
-            input_Cabin = st.number_input(label='Cabin', format='%f', key='input_Cabin')
-            input_Embarked = st.number_input(label='Embarked', format='%f', key='input_Embarked')
-            input_Survived = st.number_input(label='Survived', format='%f', key='input_Survived')
+        input_Pclass = st.number_input(label='Pclass', format='%f', key='input_Pclass')
+        input_Name = st.number_input(label='Name', format='%f', key='input_Name')
+        input_Sex = st.number_input(label='Sex', format='%f', key='input_Sex')
+        input_Age = st.number_input(label='Age', format='%f', key='input_Age')
+        input_SibSp = st.number_input(label='SibSp', format='%f', key='input_SibSp')
+        input_Parch = st.number_input(label='Parch', format='%f', key='input_Parch')
+        input_Ticket = st.number_input(label='Ticket', format='%f', key='input_Ticket')
+        input_Fare = st.number_input(label='Fare', format='%f', key='input_Fare')
+        input_Cabin = st.number_input(label='Cabin', format='%f', key='input_Cabin')
+        input_Embarked = st.number_input(label='Embarked', format='%f', key='input_Embarked')
+        input_Survived = st.number_input(label='Survived', format='%f', key='input_Survived')
         submitted = st.form_submit_button("📊 Get Prediction")
 
     # --- Prediction Logic & Output Section ---
@@ -142,7 +142,8 @@ else:
                  # More robust imputation might be needed depending on the model
                  # Fill only numerical NaNs with 0, leave others? Or use mode for categoricals?
                  for feature, details in APP_SCHEMA.items():
-                     if details.get("type") == "numerical" and input_data[feature].isnull().any():
+                     # Check if column exists before attempting to fill
+                     if feature in input_data.columns and details.get("type") == "numerical" and input_data[feature].isnull().any():
                          input_data[feature].fillna(0, inplace=True)
                  # input_data.fillna(0, inplace=True) # Previous simpler strategy
                  logger.info(f"Data after filling NaN:\n{input_data}")