update

app.py

@@ -35,15 +35,19 @@ def transform_image(myarray):
 f = open('imagenet_label.json',)
 label_map=json.load(f)
 f.close()
+
 # Load list of images for similarity
 sub_test_list = open('img_list.txt', 'r')
 sub_test_list = [i.strip() for i in sub_test_list]
+
 # Load images embedding for similarity
 embeddings = torch.load('embeddings.pt')
+
 # Configure
 options = onnxruntime.SessionOptions()
 options.intra_op_num_threads = 1
 options.inter_op_num_threads = 1
+
 # Load model
 PATH = 'model_onnx.onnx'
 ort_session = onnxruntime.InferenceSession(PATH)