mytwitter-desk

Description This is a web2py web application which uses machine learning algorithms to classify which posts in your twitter timeline can be considered spam. It learns based on your favorites and your home timeline. Requirements Python interpreter 2.5 or higher. web2py - the latest version - installed. Optional: mysql, PostgreSQL, MongoDB or any other database supported by web2py. Configuration edit the MODELS/DB.PY file and change db = DAL("sqlite://storage.sqlite") Configure your database. By default web2py starts with sqlite preconfigured, but this is not recommended for a production environment. Refer to web2py documentation to change this configuration. go to twitter.dev page and get keys