web-antispoof

Web-service for antispoofing detection

Files description

• bot.py - runs telegram bot
• api.py - contains local web-server implementation for local model testing
• inference.py - contains feature extraction and model prediction functions + runs local test
• example.py - Telegram bot example

Example usage

• Configure two variables in bot.py first:

    # Telegram bot token
    TOKEN = '<YOUR_TELEGRAM_BOT_TOKEN_GOES_HERE>'

    # proxy server
    REQUEST_KWARGS = {
        'proxy_url': 'http://USERNAME:PASSWORD@YOUR_IP_ADDRESS:PORT',
}

• To run bot:

    python3 bot.py

• To run local server:

    python3 api.py
    
    # to test the model output
     curl -i -H "Content-Type: application/json" -X POST -d '{"FILE_PATH": "/home/anton/contests/boosters/deploy/git/web-antispoof/data/test/test_25s.wav"}' 127.0.0.1:5000/predict

• To run model test:

    python3 inference.py

• To run remote API:

    # on a remote machine
    python3 api_remote.py

    # to make a request from the same machine
    python3 test_request.py

    # to make a remote request change the "url" variable in test_request.py

Build

• To build Docker image:

    docker build -t web-antispoof:latest .

Deploy

• To start bot-server we need to mount a folder to /opt/audio in container, where downloads will be stored:

    docker run --rm -v <host_machine_path>:/opt/audio web-antispoof:latest

• To run API:

    # select another port if it is not 5000
    docker run --rm -p 5000:5000 web-antispoof:latest python3 api_remote.py

Links

• https://medium.com/@aliabdelaal/telegram-bot-tutorial-using-python-and-flask-1fc634da9522
• https://github.com/python-telegram-bot/python-telegram-bot/wiki/Extensions-%E2%80%93-Your-first-Bot