HuggingText is a simple Python API for classifying and analysing sentiment in text. This microservice template depends on the PyPi package germansentiment at the backend to detect sentiment in German texts. The germansentimentitself is build on top of BERT architecture open sourced by Huggingface.

For more detailed read please visit germansentiment and BERT HuggingFace

At the moment HuggingText support only German texts

Please visit and download the Docker for your preferred operating system at Linux, MacOS, Windows

The germansentiment model/inference code is stored at sentimentmodel.py and the web api code is under app.py.

In addition, the project has api test module test.py, Dockerfile which include commands to build and run the container and a requirements.txt file to setup the virtual environment.

git clone https://github.com/Saran-nns/huggingtext.git

cd huggingtext

sh run.sh

In case you would like to build container manually,

docker build -f Dockerfile -t huggingtext:v0.1.0 .

and to run the container,

docker run -p 8000:5000 -v ~/huggingtext/:/root/huggingtext -ti huggingtext:v0.1.0 /bin/bash -c "cd /src && source activate huggingtext && python app.py" 

The Flask application has both GET and POST methods defined at /.

To deploy the containerized app to GCP,

• Cloud Build and Container Registry
• Cloud Run