Update app.py

app.py

@@ -27,7 +27,7 @@ def predict_return(selected_products, total_customer_purchases, total_customer_r
 
     for selected_product in selected_products:
         # Split each selected product into model, fabric, and color
-        product_info = selected_product.split(" - ")
+        product_info = selected_product.split(" \t")
         model_fabric_colour = product_info[0]  # Questo è del tipo "Model-Fabric-Colour"
         
         # Dividi il codice prodotto in modello, tessuto e colore
@@ -91,8 +91,8 @@ def predict_return(selected_products, total_customer_purchases, total_customer_r
 
 # Crea l'interfaccia Gradio con le checkbox a sinistra
 checkbox_choices = [
-    f"{row['Item Brand Model']}-{row['Item Brand Fabric']}-{row['Item Brand Colour']} "
-    f"\tType: {row['Product Type']} \tMaterial: {row['Main Material']} \tSales: {round(row['Net Sales (FA)'], 2)} USD"
+    f"{row['Item Brand Model']}-{row['Item Brand Fabric']}-{row['Item Brand Colour']}"
+    f" \tType: {row['Product Type']} \tMaterial: {row['Main Material']} \tSales: {round(row['Net Sales (FA)'], 2)} USD"
     for _, row in inventory.iterrows()
 ]