Knowledgeable Goal Modeling

We provide the code used for our paper "An Interactive Tool for Goal Model Construction using a Knowledge Graph", written by Shahin ABDOUL SOUKOUR, William ABOUCAYA and Nikolaos GEORGANTAS.

Installing the dependencies

Inside a dedicated Python environment:

pip install -r requirements.txt

Run the tool

uvicorn main:app

The tool is then accessible by opening a webpage at the URL 127.0.0.1:8000 or localhost:8000

Increasing the speed of the inferences using HuggingFace Inference Endpoints

If you use HuggingFace Inference Endpoints, you can perform the NLI and sentiment analysis tasks on remote servers by creating a .env file at the root of this project and adding the following environment variables:

• HF_TOKEN: Your HuggingFace Inference Endpoints access token
• API_URL_NLI: The URL to your endpoint containing a model dedicated to NLI (in our paper, we use ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli)
• API_URL_SENT: The URL to your endpoint containing a model dedicated to sentiment analysis (in our paper, we use cardiffnlp/twitter-roberta-base-sentiment-latest)