Update app.py

app.py

@@ -13,11 +13,10 @@ detection_model = AutoDetectionModel.from_pretrained(
     device="cpu"  # Change to 'cuda:0' if you have a GPU
 )
 
-OUTPUT_PATH = "./outputs/pred_image.jpg"
-TEMP_PNG_PATH = "./outputs/pred_image.png"
+OUTPUT_PATH = "./pred_image.jpg"
+TEMP_PNG_PATH = "./pred_image.png"
 
 def run_inference(image):
-    Path("./outputs").mkdir(parents=True, exist_ok=True)  # Ensure output directory exists
     result = get_sliced_prediction(
         image,
         detection_model,