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https://github.com/archish27/nora-covid-19-bot
Bot that addresses typical questions about the COVID-19 virus to help you handle high volumes of questions from your customers, partners and staff.
https://github.com/archish27/nora-covid-19-bot
bot conversational-ai hacktoberfest python rasa
Last synced: about 2 months ago
JSON representation
Bot that addresses typical questions about the COVID-19 virus to help you handle high volumes of questions from your customers, partners and staff.
- Host: GitHub
- URL: https://github.com/archish27/nora-covid-19-bot
- Owner: Archish27
- License: mit
- Created: 2020-04-18T06:09:52.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2022-12-05T22:09:31.000Z (about 2 years ago)
- Last Synced: 2023-03-02T15:26:05.606Z (almost 2 years ago)
- Topics: bot, conversational-ai, hacktoberfest, python, rasa
- Language: Python
- Homepage: https://norabot.netlify.app
- Size: 153 MB
- Stars: 12
- Watchers: 3
- Forks: 19
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# 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](CONTRIBUTING.md).
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](https://github.com/browserstack/ws-reconnect-proxy/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
```shell
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](https://support.microsoft.com/en-us/help/2977003/the-latest-supported-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](https://superuser.com/questions/1119883/windows-10-enable-ntfs-long-paths-policy-option-missing) on Windows.
Install the 64-bit [Python 3 release for Windows](https://www.python.org/downloads/windows/) (select pip as an optional feature).
- **mac OS**
- Install using the [Homebrew](https://brew.sh/) package manager:
```shell
$ /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**
```shell
$ 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:
```shell
(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:
````shell
pip install --upgrade pip
pip list # show packages installed within the virtual environment```
````
- And to exit virtualenv later:
```shell
deactivate # don't exit until you're done using TensorFlow
```
### 🚀 3. Project Setup
```shell
(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/](http://localhost:5005/)
### Rasa Action Server
`rasa run actions`
> [http://localhost:5055/](http://localhost:5055/)
### Run Nora bot ui
`npm run start`
> [http://localhost:3000/](http://localhost:/3000)
# 👩💻 !Happy Coding! 🧑💻