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An IVR Chatbot with integrated text-to-speech and speech-to-text APIs, with multilingual support, built using Rasa 2.0 .

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Interactive Voice Response Conversational Bot

An IVR Chatbot with integrated text-to-speech and speech-to-text APIs, with Multilingual support.

Built using Rasa 2.0 .

Steps to installation

  • Before starting the installation process, please ensure that you have docker and conda/virtualenv installed.

  • Firstly we install all the dependencies:

    1. Clone the repository
    git clone https://github.com/manitbaser/Interactive-Voice-Response.git
    1. Change into project directory:
    cd Interactive\ Voice\ Response/
    1. Create python environment
    conda create --name <environment-name> python=3.8 
    1. Activate environment
    conda activate <environment-name>
    1. Install dependencies
    pip install -r requirements.txt
  • After installing the dependencies, you need to open 4 terminal/shell windows:

    • Terminal-1: For duckling server
    docker run -p 9000:8000 rasa/duckling
    • Terminal-2: For web application
    # activate virtual environemtn
    conda activate <environment-name>
    # change directory to webapp
    cd backend
    # run web application server
    uvicorn app:app --reload --port 8000
    • Terminal-3: For RASA actions server
    # activate virtual environemtn
    conda activate <environment-name>
    # change to chatbot directory
    cd chatbot
    # run RASA actions server
    rasa run actions
    • Terminal-4: For RASA core server
    # activate virtual environemtn
    conda activate <environment-name>
    # change to chatbot directory
    cd chatbot
    # run RASA core server
    rasa run --enable-api --verbose

    On successfully running these, commands you will be able to run the chatbot in your browser on the address localhost:8000.

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An IVR Chatbot with integrated text-to-speech and speech-to-text APIs, with multilingual support, built using Rasa 2.0 .

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  • Python 36.8%
  • CSS 28.5%
  • JavaScript 21.2%
  • HTML 13.1%
  • Shell 0.4%