Text NLU

A new C++ API for NLU at Qwant Research. The API is based on Tensorflow.

Installation

git clone --recursive https://github.com/QwantResearch/text-nlu.git 
cd text-nlu
docker build -t text-nlu:latest .

Start using Docker Compose

This is the easiest way to start text-nlu service. Docker-compose starts both the TFserving and the text-nlu:

docker-compose up

You can change environment variables in the docker-compose.yml.

Starting text-nlu locally

If you want to start text-nlu locally, make sure you have a tensorflow serving server running. Then launch text-nlu using:

./text-nlu [--threads <nthreads>] [--port <port>] [--grpc] [--debug] 
           --model_config_path <filename> --tfserving_host <address:port>

        --threads (-t)           number of threads (default 1)
        --port (-p)              port to use (default 9009)
        --grpc (-g)              use grpc service instead of rest
        --debug (-d)             debug mode (default false)
        --model_config_path (-c) model_config_path file in which API configuration is set (needed)
        --tfserving_host (-s)    TFServing host (needed)
        --help (-h)              Show this message

You can also set environment variables instead of args, as in docker-compose.yml file.

Licencing

Copyright 2019 Qwant Research. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.

Contact:

• e[dot]maudet[at]qwantresearch[dot]com
• p[dot]jackman[at]qwantresearch[dot]com
• n[dot]martin[at]qwantresearch[dot]com
• christophe[dot]servan[at]qwantresearch[dot]com