Update app.py

app.py

@@ -13,10 +13,10 @@ title = "Excavator Detector"
 description = "An Yolov8(m) object detection computer vision model to detect images of excavators."
 
 excavator_path = Path('.')
-example_path = excavator_path / "Examples"
+example_path = excavator_path / "examples"
 
 # Get example filepaths in a list of lists
-example_list = [["Examples/" + example] for example in os.listdir(example_path)]
+example_list = [["examples/" + example] for example in os.listdir(example_path)]
 
 def predict(img, conf_thres=0.35, iou_thres=0.5): # default : conf(0.25), iou(0.7)
     model = YOLO('./weights/excavator_only_best_v8m.pt')