codacy-badger/spamdetection

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

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 !

Deploy the app

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

Working without docker

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)

Built With

• 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