Spam Classifier (Detector) App

This is a simple web app that checks if a message is Spam or Ham.
It is built using Streamlit, Python, and a machine-learning model trained on email data.

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🚀 How It Works

1. You type any message into the text box.
2. The app changes your text into numbers using a vectorizer.
3. The trained model predicts if the message is:
   • ✅ HAM (safe)
   • ⚠️ SPAM (unsafe)

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🛠️ Technologies Used

• Python
• Streamlit
• Scikit-Learn
• Pickle (for saving model + vectorizer)

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📂 Project Files

• modelh5.pkl → trained ML model
• extraction.pkl → vectorizer used during training
• app.py → main Streamlit app
• spam.ipynb → training notebook (model creation)

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▶️ How To Run

1. Install required libraries:

   pip install streamlit scikit-learn pandas numpy

2. Run the Streamlit app:

   streamlit run app.py