Update app.py

app.py

@@ -1,11 +1,13 @@
 #import the necessary dependencies
 import streamlit as st
 from transformers import pipeline
+import lightgbm as lgb
+import pandas as pd
 import predictor
 
 #INTERFACE
 
-data = {}
+data = pd.DataFrame({})
 for label in predictor.X_test.columns:
     data[label] = 0
 
@@ -35,6 +37,7 @@ data["KitchenQual"] = st.slider("Quality of the Kitchen", 1, 5)
 data["OpenPorchSF"] = st.number_input("Open Porch Square Footage:", value=0, min_value=0)
 data["MoSold"] = st.slider("Month Sold:", 1,12)
 
+
 if st.button("Calculate"):
     results = predictor.make_a_prediction(data)
     print(results)