Upload 3 files

app3.py

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+import streamlit as st
+import pickle
+st.title('Tecrube, yazili ve sozlu sinava gore maas tahmin eden model :heavy_dollar_sign:')
+model=pickle.load(open('maas.pkl','rb'))
+tecrube=st.number_input('Tecrube',1,10)
+yazili=st.number_input('yazili',1,10)
+mulakat=st.number_input('mulakat',1,10)
+if st.button('Tahmin et'):
+    tahmin=model.predict([[tecrube,yazili,mulakat]])
+    tahmin=round(tahmin[0][0],2)
+    st.success(f'maas tahmini:{tahmin}')

maas.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4ad9f8040ce964111eae8c80df97e891d2055a9f8c046d9579c2f2e8bb9aff28
+size 592

requirements.txt

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+streamlit
+scikit-learn