Update app.py

app.py

@@ -24,6 +24,11 @@ importlib.reload(streamlit_presentation.modele)
 from streamlit_presentation.modele import presentation_modele
 from sklearn.metrics import f1_score
 
+
+import streamlit_presentation.plusloin
+importlib.reload(streamlit_presentation.plusloin)
+from streamlit_presentation.plusloin import plusloin
+
 plt.rcParams['font.size'] = 12
 plt.rcParams['axes.labelsize'] = 10
 plt.rcParams['axes.titlesize'] = 12
@@ -38,6 +43,9 @@ extract_data = pd.read_csv( 'data_tr_extract.csv')
 sum_data = pd.read_csv( 'data_sum_extract.csv')
 test_data = pd.read_pickle( 'data_test.pkl')
 
+from tensorflow.keras.models import load_model
+autoencoder = load_model('autoencoder_model.h5')
+
 from keras.models import load_model
 import tensorflow as tf
 from tensorflow.keras import backend as K
@@ -166,7 +174,7 @@ elif tabs == "Modèle":
     presentation_modele(st, test_data, model,class_labels,y_test,encoder)
 
 elif tabs == "Pistes exploratoires":
-    st.write("# Pistes exploratoires")
-    st.write("Ici")
+    st.write("### Pistes exploratoires")
+    plusloin(st,autoencoder)