Update app.py

app.py

@@ -204,6 +204,13 @@ num_col_trans = results["num_col_trans"]
 cat_col_trans = results["cat_col_trans"]
 
 
+## Load Model from pickle file
+with open("Model_package.pkl","rb") as f:
+    Model_package = pickle.load(f)
+    model = Model_package['my_classif']
+    num_col_trans = Model_package['num_col_trans']
+    cat_col_trans = Model_package['cat_col_trans']
+
 # Plot the features Importance
 st.subheader("Importance des variables :")
 df_importance,sort_col_desc = Plot_feature_importance(model,Xtrain)
@@ -221,12 +228,7 @@ st.pyplot(fig2)
 
 # PREDICTION
 
-## Load Model from pickle file
-with open("Model_package.pkl","rb") as f:
-    Model_package = pickle.load(f)
-    model = Model_package['my_classif']
-    num_col_trans = Model_package['num_col_trans']
-    cat_col_trans = Model_package['cat_col_trans']
+
 
 #Taux d'erreur de validation
 Ypred_test = model.predict(Xtest_encoded)