Moltron Bot - Machine Learning Queries Bot

Moltron is a rasa based chatbot for addressing basic questions in machine learning domain at one place and that too in interactive manner.

How to install rasa

1. Install the Python development environment on your system

Requires Python 3.6–3.7.7 and pip >= 19.0

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

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:

Go to the Microsoft Visual C++ downloads,
Scroll down the page to the Visual Studio 2015, 2017 and 2019 section.
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

Prefer v3.6 / v3.7.7 Caution: Upgrading the system pip can cause problems. If not in a virtual environment, use python3 -m pip for the commands below. This ensures that you upgrade and use the Python pip instead of the system pip.

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. Install Rasa

(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 Moltron bot

Rasa Server

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

http://localhost:5005/

Rasa Action Server

rasa run actions

http://localhost:5055/

Run Moltron bot ui

npm run start

http://localhost:3000/

tardigrade-10/rasa_ml_bot