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mi_webapp's Introduction

MI_webapp

Web application for the MI study

Tested Platform

  1. OS: Ubuntu
  2. Browser: Chrome, Firefox
  3. Python: 2.7+

How to run

  1. Install Conda. Don't forget to add conda in your path. You can run commands below to add conda in your path.
  • vim ~/.bashrc
  • Add export PATH=/home/YOUR_USER_NAME/anaconda3/bin:$PATH in the end of the file.
  • Run source ~/.bashrc
  1. Create Python Environment, and install required libraries:
  • Run sh install.sh
  1. Run the following:
  • source activate myenv
  • python manage.py runserver 0.0.0.0:8000. If this port is occupied, try other ports.
  1. Open browser and open 0.0.0.0:8000 for homepage.
  2. 0.0.0.0:8000/topics/ for topic language analysis
  3. Set up audio input recognizer, refers to Mozilla DeepSpeech
    • Install by pip: pip install deepspeech or pip install deepspeech-gpu (Need to setup GPU supports);
    • Download audio models from Mozilla;
    • Add the path information to the settings.init;
    • Note: all the audio input will be save temporarily under ./resources/audio_tmp/
    • The function won't enabled until all previous steps has been done correctly.

Screenshots of demo

  1. Only Content

Content Mode

2. With context

Contextual Mode

License

  1. This project is licensed under the GPL License

Contact

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