Spam Classifier App

A machine learning web application built with Streamlit and Scikit-Learn that classifies messages as Spam or Ham (normal).

Features

• Machine Learning: Uses TF-IDF Vectorization and a Support Vector Machine (SVC).
• Continuous Learning: Users can flag incorrect predictions, which appends to the dataset and retrains the model dynamically.
• Data Visualization: Built-in charts and metrics to evaluate model accuracy.

How to Run Locally

1. Clone this repository.
2. Install dependencies: pip install -r requirements.txt
3. Run the app: streamlit run app.py