Update app.py

app.py

@@ -22,14 +22,16 @@ import pickle
 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", "")
+kpi_met = st.text_input("KPI Met 80", "")
+awards_won = st.text_input("Awards Won", "")
+avg_train_score = st.text_input("AVG Train Score", "")
+
+
 # Predict house price
 if st.button('Predict Promosi'):
-    prediction = model.predict([[5, 1, 1, 89]])
-    st.write(f'Predicted Result: ${prediction[0]:.2f}')
+    prediction = model.predict([[previous_rating, kpi_met, awards_won, avg_train_score]])
+    st.write(f'Predicted Result: {prediction[0]}')
 
 
 #import sklearn