Update app.py

app.py

@@ -11,10 +11,10 @@ except FileNotFoundError:
     st.error("❌ Model file not found! Please upload `final_model.pkl`.")
     model = None
 
-# Title of the application
+
 st.markdown("<h1 class='title'>🏡 House Price Predictor</h1>", unsafe_allow_html=True)
 
-# Input Section for Property Details
+
 with st.expander("🔹 **Property Details**", expanded=True):
     POSTED_BY = st.selectbox("POSTED_BY", ["Owner", "Dealer", "Builder"])
     UNDER_CONSTRUCTION = st.selectbox("UNDER_CONSTRUCTION", [1, 0])
@@ -28,16 +28,13 @@ with st.expander("🔹 **Property Details**", expanded=True):
     LATITUDE = st.number_input("LATITUDE", min_value=-121.761248, max_value=152.962676, value=77.324137)
 
 if st.button("🔍 Predict Price"):
-    # Create input data for prediction, using pandas DataFrame with proper column names
     input_data = pd.DataFrame([[POSTED_BY, UNDER_CONSTRUCTION, RERA, BHK_NO_, BHK_OR_RK, SQUARE_FT,
                                READY_TO_MOVE, RESALE, LONGITUDE, LATITUDE]],
                               columns=["POSTED_BY", "UNDER_CONSTRUCTION", "RERA", "BHK_NO.", "BHK_OR_RK", "SQUARE_FT", 
                                        "READY_TO_MOVE", "RESALE", "LONGITUDE", "LATITUDE"])
 
-    # Print column names to check for issues
-    st.write(input_data.columns)
 
-    # Make prediction using the model
+
     try:
         predicted_price = model.predict(input_data)[0]
         st.markdown(f"<div class='result-box'>🏠 Predicted Price: ₹ {predicted_price:.2f} Lakhs</div>", unsafe_allow_html=True)