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1. Clone the SIC repo

   1. git clone https://github.com/Social-AI-VU/social-interaction-cloud.git

2. Switch to the nlu_component branch:

   1. git checkout nlu_component

3. Create and activate a virtual environment:

   1. If you are using pure Python environment

      Code Block
      python -m venv venv_sic source venv_sic/bin/activate

   2. If you are using Anaconda environment

      Code Block
      conda create -n venv_sic python=3.12 conda activate venv_sic

4. Install SIC, nlu and whisper dependencies from local repo:

   Code Block
   cd social-interaction-cloud pip install ."[whisper-speech-to-text,nlu]"

5. Run the NLU and Whisper components in separate terminals Start the Redis server + SIC components, correspondingly. (Don’t forget to run a redis server. See the details here https://socialrobotics.atlassian.net/wiki/spaces/CBSR/pages/2180415493/Getting+started#Step-1%3A-starting-Redis-on-your-laptop ):

   Code Block
   # Start the Redis server, followed by NLU and Whisper components redis-server conf/redis/redis.conf # Start the NLU and Whisper components separately& run-whisper & run-nlu &

6. Open a new terminal and activate the same virtual environment you created earlier

7. Clone the sic_applications repo

   1. git clone https://github.com/Social-AI-VU/sic_applications.git

8. Add (trained) nlu model and ontology to the configuration folder sic_applications/conf/nlu. The default names are “model_checkpoint.pt" and "ontology.json".

   

9. Run the demo

   Code Block
   cd sic_applications/demos/desktop python demo_desktop_asr_nlu.py

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