fix duplicated function

app.py

@@ -15,18 +15,6 @@ tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
 # Load the Lora model
 model = PeftModel.from_pretrained(model, peft_model_id)
 
-
-def make_inference(product_name, product_description):
-    batch = tokenizer(
-        f"### Product and Description:\n{product_name}: {product_description}\n\n### Ad:",
-        return_tensors="pt",
-    )
-
-    with torch.cuda.amp.autocast():
-        output_tokens = model.generate(**batch, max_new_tokens=50)
-
-    
-
 def make_inference(person, location, grammer, level):
   
   batch = tokenizer(f"""