Update app.py

app.py

@@ -7,7 +7,7 @@ t5_recommender = pipeline(model="RedaAlami/t5_recommendation_sports_equipment_en
 # Fixed list of candidates
 all_candidates = [
     "Soccer Jersey", "Basketball Jersey", "Football Jersey", "Baseball Jersey", "Tennis Shirt", "Hockey Jersey",
-    "Soccer Ball", "Basketball", "Football", "Baseball", "Tennis Ball", "Hocket Puck",
+    "Soccer Ball", "Basketball", "Football", "Baseball", "Tennis Ball", "Hockey Puck",
     "Soccer Cleats", "Basketball Shoes", "Football Cleats", "Baseball Cleats", "Tennis Shoes", "Hockey Helmet",
     "Goalie Gloves", "Basketball Arm Sleeve", "Football Shoulder Pads", "Baseball Cap", "Tennis Racket", "Hockey Skates",
     "Soccer Goal Post", "Basketball Hoop", "Football Helmet", "Baseball Bat", "Hockey Stick",
@@ -32,6 +32,10 @@ def recommend(items_purchased):
 
 with gr.Blocks() as demo:
     gr.Markdown("# Sports Equipment Recommender")
+    
+    gr.Markdown("## All Possible Candidates")
+    gr.Markdown(", ".join(all_candidates))
+    
     with gr.Row():
         with gr.Column():
             items_input = gr.Textbox(label="Items Purchased")