ML-powered Flask app to perform spam classification of SMS messages using TF-IDF vectorization.

Make sure that you have the following:

Python 3+ and pip (which comes with Python 3+)

Run the following command on the root directory of this project:

Optional commands to create virual environment:

1. Create virtual environment: python -m venv Spam-Classifier
2. Activate virual environment: Spam-Classifier\Scripts\activate

Command to start server:

1. Install Dependency: pip install -r requirements.txt
2. flask run

This will start flask based spam classifier server in production mode.

To access home page browse to http:https://localhost:5000

To start python notebook from within python virtual environment follow below commands:

1. python -m pip install jupyter
2. jupyter notebook
3. Open Data Analysis and Modelling.ipynb from browser

1. localhost:5000\train will load dataset and create vocabulary, train Naive Bayes model using that.
2. localhost:5000\ is the main page of the web app.
3. localhost:5000\predict will predict the class of text passed. This api will load trained model which were created from localhost:5000\train and use it for prediction.