Data Science Web Application SpamDetection

This is a Repository which Contains the implementation of ML model for spam detection

Live Demo

The implementation of the web app can be found https://spamdetect.herokuapp.com/ <-- here !

First fork or clone this repo:

usign git clone https://github.com/Ge0f3/SpamDetection.git

After cloning the repository go inside the project folder:

cd SpamDetection

Build docker using docker build -t spamapp:latest . After deploy the app using docker run -d -p 5000:5000 spamapp

In your browser navigate to: http://localhost:5000(or whatever port you have mention in the docker build) to see the app up and running

I highly recommend the use of docker as it is far simpler to get started than to run all of the following manually.

To Deploy manually Assure you have Python. installed.

Navigate inside the directory
Install pip dependencies: pip install -r requirements.txt
Run python main.py to see the app up and running (will watch files and restart server on port 5000 on change)

Scikit - scikit-learn is a Python module for machine learning
Flask - Flask is a microframework for Python
Docker - Docker is an open platform and is used for building the app and Devops purposes