Update app.py

app.py

@@ -15,15 +15,22 @@ import pickle
 #    prediction = model.predict([[living_area, bedrooms]])
 #    st.write(f'Predicted House Price: ${prediction[0]:.2f}')
 
-#Load the model
-with open('best_model.pkl', 'rb') as f:
-    model = f
 
-avg_train_score = st.text_input("AVG Train Score", "")
-awards_won = st.text_input("Awards Won", "")
-kpi_met = st.text_input("KPI Met 80", "")
-previous_rating = st.text_input("Previous Rating", "")
+
+
+#Load the model
+#with open('best_model.pkl', 'rb') as f:
+#    model = pickle.load(f)
+#
+#avg_train_score = st.text_input("AVG Train Score", "")
+#awards_won = st.text_input("Awards Won", "")
+#kpi_met = st.text_input("KPI Met 80", "")
+#previous_rating = st.text_input("Previous Rating", "")
 # Predict house price
-if st.button('Predict Promosi'):
-    prediction = model.predict([[5, 1, 1, 89]])
-    st.write(f'Predicted Result: ${prediction[0]:.2f}')
+#if st.button('Predict Promosi'):
+#    prediction = model.predict([[5, 1, 1, 89]])
+#    st.write(f'Predicted Result: ${prediction[0]:.2f}')
+
+
+import sklearn
+print('The scikit-learn version is {}.'.format(sklearn.__version__))