Spam Detector

[sanga28]

Closes: #70

• Title: Spam Detection Model Integration with Jarvis
• Your Name: Sanga Bhattacharjee
• Open Source Program: SWOC

Describe the add-ons or changes you've made 📃

This PR introduces the spamDetector function in the spamDetector.py file to classify text as "spam" or "not spam" using a pre-trained model.
Key features:
Pre-Trained Model: Loads a trained model from a .pkl file (MODEL_PATH).
Functionality: Accepts a string input, preprocesses it, and returns "spam" or "not spam."
Error Handling: Checks for the existence of the model file and raises an error if not found.
Adherence to Guidelines: The file and function names match, with no training logic included.
This ensures the code is simple, modular, and meets project requirements.

Checklist: ☑️

• My code follows the Contributing Guidelines & Code of Conduct of this project.
• This PR does not contain plagiarized content.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• My changes generate no new warnings.

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