Upload 3 files

CiVilium.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:340387d5ce541ccab1f5d5f327005f6d4a1a0d61496a0ec482bdab4d19c5add0
+size 474550

app.py

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+import streamlit as st
+import pickle
+import pandas as pd
+
+
+
+st.title("CiVilium Fiyat Tahmin Modeli")
+model=pickle.load(open("CiVilium.pkl","rb"))
+
+Unix_Timestamp=st.number_input("Unix_Timestamp (60 sec):")
+Volume_CiVilium=st.number_input("Volume_CiVilium :")
+
+
+if st.button("Tahmin Et"):
+    tahmin=model.predict([[Unix_Timestamp,Volume_CiVilium]])
+
+
+st.success(tahmin)

requirements.txt

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+streamlit
+scikit-learn