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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]

   If you are using zsh, the default shell in macOS, add quotes to escape the brackets:

   pip install

   install ."[whisper-speech-to-text,nlu]"

5. Run the NLU and Whisper components in separate terminals (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 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 of sic_applications

   Image Added

9. Run the demo (Don’t forget to put your ontology file and an already trained model in sic_application_conf/nlu folder, the default name is ontology.)

   1. cd sic_applications/demos/desktop

   2. python demo_desktop_asr_nlu.py

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