# Spam / Not Spam Classifier
A simple machine learning model built using **Logistic Regression + TF-IDF** to detect spam messages.

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## How it works
- Input: Raw text message  
- Preprocessing: TF-IDF Vectorizer  
- Model: Logistic Regression  
- Output: `spam` or `ham`  

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## Files included
- `model.pkl` — trained ML model  
- `vectorizer.pkl` — TF-IDF vectorizer  
- `inference.py` — simple inference script  

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## Example Usage
```python
from inference import predict
print(predict("You have won $1000!!!"))