https://github.com/anwar-opu/email_or_sms_spam_classifier

https://github.com/anwar-opu/email_or_sms_spam_classifier

nltk pickle python scikit-learn streamlit

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/anwar-opu/email_or_sms_spam_classifier
• Owner: anwar-opu
• Created: 2025-04-05T17:01:34.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-05T18:10:03.000Z (about 1 year ago)
• Last Synced: 2025-06-28T05:34:46.142Z (12 months ago)
• Topics: nltk, pickle, python, scikit-learn, streamlit
• Language: Jupyter Notebook
• Homepage: https://sms-or-email-classifier.streamlit.app/
• Size: 865 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 📧 SMS/Email Spam Classifier

A simple Streamlit web app that classifies SMS or Email messages as **Spam** or **Not Spam** using NLP and a machine learning model.

🔗 Live App: [Click Here](https://sms-or-email-classifier.streamlit.app/)

## 📸 Screenshot

![App Screenshot](https://raw.githubusercontent.com/anwar-opu/Email_Or_SMS_Spam_Classifier/main/spam_classifier_demo.png)

## 🚀 How to Run

```bash

pip install -r requirements.txt

streamlit run app.py

```

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## 📁 Files

```app.py``` – Main app

```model.pkl``` – Trained spam classifier model

```vectorizer.pkl``` – TF-IDF vectorizer

```requirements.txt``` – Dependencies

```sms_Spam_Classifier.ipynb``` - Model training

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## 💡 Features

- Input any SMS or Email message

- Cleans and preprocesses text using:

  - Lowercasing

  - Tokenization

  - Stopword removal

  - Stemming

- Uses TF-IDF vectorization

- Predicts using a trained ML model

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## 🛠 Tech Stack

- Python

- Streamlit

- Scikit-learn

- NLTK

- Pickle

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