try load data

src/models/esmm/model.py

 import timeit
 
-import numba
+import json
 import tensorflow as tf
 from tensorflow import feature_column as fc
 from tensorflow.python.estimator.canned import head as head_lib
@@ -124,11 +124,16 @@ def model_predict_diary(device_id, diary_ids, device_dict, diary_dict, predict_f
         example = tf.train.Example(features=tf.train.Features(feature=features))
         examples.append(example.SerializeToString())
 
+    print(examples)
+    a = json.dumps(examples)
+    print(a)
+    b = json.loads(examples)
     total_1 = (timeit.default_timer() - time_1)
     print("make example cost {:.5f}s".format(total_1))
 
     time_1 = timeit.default_timer()
-    predictions = predict_fn({"examples": examples})
+    # predictions = predict_fn({"examples": examples})
+    predictions = predict_fn({"examples": b})
     diary_ids = []
     for i in diary_lst:
         diary_ids.append(i.get("card_id", "-1"))