upload space files

app.py

@@ -12,7 +12,7 @@ article = f"<p style='text-align: center'> <a href='https://huggingface.co/{mode
 current_model_id = models_ids[-1]
 model = yolov5.load(current_model_id)
 
-examples = [[WindowsPath('space_content/test_images/ss.png'), 0.25, 'keremberke/yolov5m-valorant'], [WindowsPath('space_content/test_images/ss2.png'), 0.25, 'keremberke/yolov5m-valorant'], [WindowsPath('space_content/test_images/ss3.png'), 0.25, 'keremberke/yolov5m-valorant'], [WindowsPath('space_content/test_images/ss4.jpg'), 0.25, 'keremberke/yolov5m-valorant'], [WindowsPath('space_content/test_images/ss5.jpg'), 0.25, 'keremberke/yolov5m-valorant'], [WindowsPath('space_content/test_images/ss6.jpg'), 0.25, 'keremberke/yolov5m-valorant'], [WindowsPath('space_content/test_images/test_images'), 0.25, 'keremberke/yolov5m-valorant']]
+examples = [['test_images/ss.png', 0.25, 'keremberke/yolov5m-valorant'], ['test_images/ss2.png', 0.25, 'keremberke/yolov5m-valorant'], ['test_images/ss3.png', 0.25, 'keremberke/yolov5m-valorant'], ['test_images/ss4.jpg', 0.25, 'keremberke/yolov5m-valorant'], ['test_images/ss5.jpg', 0.25, 'keremberke/yolov5m-valorant'], ['test_images/ss6.jpg', 0.25, 'keremberke/yolov5m-valorant']]
 
 
 def predict(image, threshold=0.25, model_id=None):