- 搜索补全
- 精确和模糊匹配
- bert模型召回
python 3.6 tensorflow=1.10.0
conda create -n py3 python=3.6 pip install -r requirements.txt conda install annoy conda install -c aaronzs tensorflow pip install bert-serving-server # server pip install bert-serving-client # client, independent of `bert-serving-server`
download chinese_L-12_H-768_A-12 unzip to ./bert/
conda activate py3 # bert server echo "启动bertservice..." nohup bert-serving-start -model_dir ./bert/chinese_L-12_H-768_A-12/ -num_worker=1 -port=4000 -port_out=4001 > bert_server.log & tail -f bert_server.log
conda activate py3
python manage.py makemigrations
python manage.py migrate
python manage.py runserver 0.0.0.0:8000
- data file should be in csv type, has two rows, key and value
- key is used to autocomplete
- value is used to get result by search key
like this:
upload website: http://127.0.0.1:8000/upload/
