(简体中文|English)
python3 -m paddle_serving_app.package --get_model senta_bilstm
python3 -m paddle_serving_app.package --get_model lac
tar -xzvf senta_bilstm.tar.gz
tar -xzvf lac.tar.gz
python3 -m paddle_serving_server.serve --model lac_model --port 9300
python3 senta_web_service.py
In the Chinese sentiment classification task, the Chinese word segmentation needs to be done through [LAC task] (../lac). In this demo, the LAC task is placed in the preprocessing part of the HTTP prediction service of the sentiment classification task.
curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "天气不错"}], "fetch":["class_probs"]}' http://127.0.0.1:9393/senta/prediction