Upload 3 files

app3.py

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+import streamlit as st
+import pickle
+
+st.title("Tecrube, yazili ve mulakat sinavlarina gore maas tahmin eden model :heavy_dollar_sign:")
+
+model = pickle.load(open("maas.pkl","rb"))
+tecrube = st.number_input("Tecrube yilinizi giriniz",min_value=0,max_value=10,step=1)
+yazili = st.number_input("Yazili sinav puaninizi giriniz",min_value=0,max_value=10,step=1)
+mulakat = st.number_input("Mulakat puaninizi giriniz",min_value=0,max_value=10,step=1)
+
+if st.button("Tahmin et"):
+    tahmin = model.predict([[tecrube,yazili,mulakat]])
+    tahmin = round(tahmin[0][0],2)
+    st.success(f"Maasiniz tahmini olarak ${tahmin} olacaktir.")

maas.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b4de3d3dc26750b8dfcf9149a05deef45ed5c54ec6458d10de3bc7a2ba44eb2c
+size 592

requirements.txt

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+streamlit
+scikit-learn
+pandas
+pickle