Nora Bot - Covid-19

Corona Virus Self Awareness Bot that addresses typical questions about the COVID-19 virus to help you to know about corona virus. It provides awarness about Covid-19 social distancing, self isolation, quarantine.

✨ How to contribute

I am very happy to receive and merge your contributions into this repository!

Please first read the Contribution guide.

To contribute via pull request, follow these steps:

1. Create an issue describing the feature you want to work on (or have a look at the issues)
2. Write your code
3. Create a pull request describing your changes

Your pull request will be reviewed by me, will get back to you about any necessary changes or questions.

⚡️ Development Internals

🔨 1. Install the Python development environment on your system

python3 --version
pip3 --version
virtualenv --version1

Requires Python 3.6–3.7.7 and pip >= 19.0

If these packages are already installed, skip to the next step.
Otherwise, install Python, the pip package manager, and Virtualenv:

• Windows Install the Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017, and 2019. Starting with the TensorFlow 2.1.0 version, the msvcp140_1.dll file is required from this package (which may not be provided from older redistributable packages). The redistributable comes with Visual Studio 2019 but can be installed separately:

1. Go to the Microsoft Visual C++ downloads,
2. Scroll down the page to the Visual Studio 2015, 2017 and 2019 section.
3. Download and install the Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019 for your platform. Make sure long paths are enabled on Windows.

Install the 64-bit Python 3 release for Windows (select pip as an optional feature).

• mac OS

  • Install using the Homebrew package manager:

    $ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
    $ export PATH="/usr/local/bin:/usr/local/sbin:\$PATH"
    $ brew update
    $ brew install python # Python 3
    $ sudo pip3 install -U virtualenv # system-wide install

• Ubuntu

  $ sudo apt update
  $ sudo apt install python3-dev python3-pip
  $ sudo pip3 install -U virtualenv # system-wide install

pip3 install -U pip virtualenv

🔧 2. Create a virtual environment (recommended)

Python virtual environments are used to isolate package installation from the system.

• Ubuntu / mac OS

  • Create a new virtual environment by choosing a Python interpreter and making a ./venv directory to hold it: virtualenv --system-site-packages -p python3 ./venv

  • Activate virtual environment
    source ./venv/bin/activate

  • When virtualenv is active, your shell prompt is prefixed with (venv).

  • Install packages within a virtual environment without affecting the host system setup. Start by upgrading pip:

    (venv) $ pip install --upgrade pip
    
    (venv) $ pip list  # show packages installed within the virtual environment

  • And to exit virtualenv later: (venv) $ deactivate

• Windows

  • Create a new virtual environment by choosing a Python interpreter and making a .\venv directory to hold it:

    virtualenv --system-site-packages -p python3 ./venv

  • Activate the virtual environment:

    .\venv\Scripts\activate

  • Install packages within a virtual environment without affecting the host system setup. Start by upgrading pip:

    pip install --upgrade pip
    pip list  # show packages installed within the virtual environment```

  • And to exit virtualenv later:

      deactivate # don't exit until you're done using TensorFlow

🚀 3. Project Setup

(venv) $ pip install rasa

Note: Run this in virtual environment. If issues regarding installing raise issues.

🧠 How to train bot

rasa train

✅ How to run Nora bot

Rasa Server

rasa run --enable-api --cors '*'

http://localhost:5005/

Rasa Action Server

rasa run actions

http://localhost:5055/

Run Nora bot ui

npm run start

http://localhost:3000/

👩‍💻 !Happy Coding! 🧑‍💻