update type

src/models/esmm/model.py

@@ -182,7 +182,7 @@ def model_predict2(device_id, diary_ids, device_dict, diary_dict, predict_fn):
             for col in float_columns:
                 features[col] = _float_feature(float(tmp[col]))
             for col in str_columns:
-                features[col] = _bytes_feature(tmp[col])
+                features[col] = _bytes_feature(str(tmp[col]).encode(encoding="utf-8"))
             example = tf.train.Example(features=tf.train.Features(feature=features))
             examples.append(example.SerializeToString())