| import streamlit as st | |
| import pickle | |
| import numpy as np | |
| model = pickle.load(open('src/maas.pkl', 'rb')) | |
| st.title("AI ile Maas Tahmin Uygulamasi") | |
| name = st.text_input("Isminiz nedir?") | |
| tecrube = st.number_input("Tecrubeniz kac yil?", min_value=0, max_value=50, value=1) | |
| yazili = st.number_input("Yazili sinav puaniniz nedir?", min_value=0, max_value=10, value=5) | |
| sozlu = st.number_input("Sozlu sinav puaniniz nedir?", min_value=0, max_value=10, value=5) | |
| if st.button("Maasimi Tahmin Et"): | |
| prediction = model.predict([[tecrube, yazili, sozlu]])[0][0] | |
| st.write(f"Merhaba {name}, tahmini maasiniz: {prediction:.2f} ") |