Update examples

app.py

@@ -9,7 +9,7 @@ max_target_length = 10
 auth_token = os.environ.get('TOKEN')
 
 model = T5ForConditionalGeneration.from_pretrained(model_id, use_auth_token=auth_token)
-tokenizer = AutoTokenizer.from_pretrained(model_id,  use_auth_token=auth_token)
+tokenizer = AutoTokenizer.from_pretrained(model_id, use_auth_token=auth_token)
 
 def predict(title, category):
     input = f"{title} <hl> {category} <hl>"
@@ -24,7 +24,12 @@ iface = gr.Interface(
     inputs=["text", "text"],
     outputs=['text'],
     title="GAVI",
-    examples=[["Arriba Salsa Garlic and Cilantro, 16 oz", "Food"], ["MV Verholen Black GPS Ball Mount for BMW K1200S K1200R K1300S K1300R Black GPS Ball Mount VER-4901-10181", "Toys"]]
+    examples=[["Arriba Salsa Garlic and Cilantro, 16 oz", "Food"], 
+    ["MV Verholen Black GPS Ball Mount for BMW K1200S K1200R K1300S K1300R Black GPS Ball Mount VER-4901-10181", "Toys"],
+    ["Mitsubishi 3000GT License Plate Frame (Zince Metal)", "Automotive"],
+    ["Fun Fire Truck Pinata Personalized", "Toys"],
+    ["White Chocolate Caramel Gourmet Popcorn Kelly", "Food"]
+    ]
 )
 
 iface.launch()