Upload model.py

model.py

@@ -0,0 +1,20 @@
+import streamlit as st
+import joblib
+import numpy as np
+
+with open("house_linear_2","rb") as f:
+    model = joblib.load(f)
+
+st.title(":orange[House] in USA:house:")
+
+sqft_living = st.number_input("sqft_living: ",min_value=0.1,max_value=100000.0,step=1.0)
+sqft_lot = st.number_input("sqft_lot: ",min_value=0.1,max_value=1000000.0,step=1.0)
+floors = st.number_input("floors: ",min_value=0.1,max_value=10.0,step=1.0)
+Bedrooms = st.number_input("Bedrooms: ",min_value=1.0,max_value=5.0,step=1.0)
+Condition = st.number_input("Condition: ",min_value=1,max_value=5,step=1)
+
+if st.button("Estimate"):
+    model_input = np.array([[sqft_living,sqft_lot,floors,Bedrooms,Condition]])
+    prediction = model.predict(model_input)
+    formatted_pred = round(prediction[0].item(),2)
+    st.write(f"House Analysis: {formatted_pred}")