? Coeus – EARIST A.C.E ?
Coeus is an Artificial Conversational Entity for queries in Eulogio “Amang” Rodriguez Institute of Science and Technology, using Open Source Machine Learning Framework RASA NLU.
Implementation
⚠️ Before Cloning this project make sure you have python installed on your machine.
- Machine Learning Framework Used: RASA https://rasa.com/docs/rasa/
- Repository Software for Python: PythonPackageIndex https://pypi.org/
✔️ Check if Pip is Already Installed: Open a command prompt type the command below:
pip help
✔️ Confirm that Python is installed: Open a command prompt type python then hit enter.
If Python is installed correctly, you should see output similar to what is shown below.
Python 3.7.0 (v3.7.0:1bf9cc5093, Jun 27 2018, 04:59:51) [MSC v.1914 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
Front-End Widget Used: RASA Webchat https://github.com/botfront/rasa-webchat.git
<script>!(function () {
let e = document.createElement("script"),
t = document.head || document.getElementsByTagName("head")[0];
(e.src =
"https://cdn.jsdelivr.net/npm/[email protected]/lib/index.js"),
(e.async = !0),
(e.onload = () => {
window.WebChat.default(
{
selector: "#webchat",
initPayload: "/hello",
customData: { language: "en" },
socketUrl: "http://localhost:5005",
title: "Coeus",
subtitle: "Earist Artificial Conversational Entity"
},
null
);
}),
t.insertBefore(e, t.firstChild);
})();
</script>
Usage
I. Quick Installation of RASA Open Source
pip3 install -U pip
pip3 install rasa
II. Virtual Environment Setup
Create a new virtual environment by choosing a Python interpreter and making a .\venv directory to hold it:
C:\> python3 -m venv ./venv
Activate the virtual environment:
C:\> .\venv\Scripts\activate
Initialize RASA:
rasa init
After cloning this repository open a prompt/terminal inside the directory where the files are located. To test the bot type the command below:
rasa shell
If you have a Front-End website to run the bot, enter the command:
rasa run --m ./models --endpoints endpoints.yml --port 5005 -vv --enable-api --cors “*”
