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app.py

@@ -22,7 +22,7 @@ Product_Type = st.selectbox("Product_Type", ["Fruits and Vegetables ", "Snack Fo
 Product_Weight = st.number_input("Product_Weight", min_value=0.0, max_value=1000.0, step=0.1, value=5.0)
 Product_MRP    = st.number_input("Product_MRP", min_value=0.0, max_value=1000.0, step=0.1, value=5.0)
 Product_Allocated_Area  = st.number_input("Product_Allocated_Area", min_value=0.0, max_value=1000.0, step=0.1, value=5.0)
-Product_Sugar_Content = st.selectbox("Sugar_Type", ["Low Sugar", "No Sugar", "Regular", "reg"])
+Product_Sugar_Content = st.selectbox("Product_Sugar_Content", ["Low Sugar", "No Sugar", "Regular", "reg"])
 Store_Type = st.selectbox("Store_Type", ["Supermarket Type2 ", "Supermarket Type1","Departmental Store","Food Mart"])
 Store_Location_City_Type = st.selectbox("Store_Location_City_Type", ["Tier 2", "Tier 1","Tier 3"])
 Store_Id = st.selectbox("Store_Id",["OUT004","OUT003","OUT002","OUT001"]
@@ -33,12 +33,13 @@ input_data = pd.DataFrame([{
     'Product_Weight': Product_Weight,
     'Product_MRP': Product_MRP,
     'Product_Allocated_Area': Product_Allocated_Area,
-    'Product_Sugar_Content': Sugar_Type,
+    'Product_Sugar_Content': Product_Sugar_Content,
     'Store_Type': Store_Type,
     'Store_Location_City_Type': Store_Location_City_Type,
     'Store_Id': Store_Id,
 }])
 
+
 # Predict button
     'Product_Type': Product_Type,
     'Product_MRP': Product_MRP,