Update src/streamlit_app.py

src/streamlit_app.py

@@ -27,16 +27,16 @@ store_type = st.selectbox("Store Type", ["Departmental Store", "Supermarket Type
 
 # Convert categorical inputs to match model training
 input_data = {
-    'Product_Weight': product_weight,
-    'Product_Sugar_Content': product_sugar_content,
-    'Product_Allocated_Area': product_allocated_area,
-    'Product_Type': product_type,
-    'Product_MRP': product_mrp,
-    'Store_Id': store_id,
-    'Store_Establishment_Year': store_establishment_year,
-    'Store_Size': store_size,
-    'Store_Location_City_Type': store_location_city_type,
-    'Store_Type': store_type,
+    'Product_Weight': [product_weight],
+    'Product_Sugar_Content': [product_sugar_content],
+    'Product_Allocated_Area': [product_allocated_area],
+    'Product_Type': [product_type],
+    'Product_MRP': [product_mrp],
+    'Store_Id': [store_id],
+    'Store_Establishment_Year': [store_establishment_year],
+    'Store_Size': [store_size],
+    'Store_Location_City_Type': [store_location_city_type],
+    'Store_Type': [store_type],
 }
 
 # Convert the input data to a DataFrame