src/streamlit_app.py

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} ")