Spam Message Classifier

A simple Streamlit app to classify messages as spam or ham using a Naive Bayes model.

Getting Started

Prerequisites

• Python 3.x
• All required Python packages are listed in requirements.txt.

Setup

1. Clone the repository:

   git clone https://github.com/yourusername/spam-message-classifier.git
   cd spam-message-classifier

2. Install dependencies:

   pip install -r requirements.txt

3. Train the model (optional):

   • If you need to retrain the model, run:

   python train_and_save_model.py

   This will save the model and vectorizer as .pkl files.

4. Run the Streamlit app:

   streamlit run app.py

5. Usage:

   • Enter a message in the input box to see if it’s classified as spam or ham.

Files

• app.py: The Streamlit app to classify messages.
• train_and_save_model.py: Script to train and save the model.
• vectorizer.pkl and spam_classifier.pkl: Saved vectorizer and model files (generated by train_and_save_model.py).

License

This project is licensed under the MIT License.