Upload 3 files

app.py

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+import streamlit as st
+import pickle
+
+
+st.title('Salary Prediction based on Experience-Exam-Interview :dollar:')
+
+
+
+experience = st.number_input('Enter Experience Years: ',1,10)
+exam = st.number_input('Enter Exam Results: ',1,10)
+interview = st.number_input('Enter Interview Results: ',1,10)
+
+model=pickle.load(open('data/maas.pkl', 'rb'))
+if st.button('Show Salary Prediction'):
+    result = model.predict([[experience,exam,interview]])
+    st.divider()
+    results  = round(result[0][0],2)
+    st.success(f'SALARY PREDICTION: {results}$')

maas.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b3c5214424defa638cc58d64ecc441e5ebe1ebfaab3d199e33eed0f918afc2ba
+size 592

requirements.txt

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+streamlit
+scikit-learn
+pandas
+pickle