Enhance Project Structure + Privacy Tools

[elonmasai7]

Summary: This PR introduces a new modular toolkit that improves the maintainability, privacy, and developer experience of the WeClone project. It includes a CLI tool for project initialization and chat anonymization, along with structured logging for better observability.

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✅ Features Added

• 🧱 Modular Project Structure Initialization

  • Automatically sets up directories like data_pipeline/, llm_training/, utils/, etc.

• 🔐 Chat Data Anonymizer

  • Redacts personal info from chat logs (names, phone numbers, emails) before model training.
  • Helps align with privacy best practices.

• 🧰 CLI Tool (weclone_cli.py)

  • --init: Sets up project structure
  • --anonymize: Cleans a given chat file and saves an anonymized version

• 📋 Structured Logging

  • Uses Python’s logging module to provide detailed logs for all actions.

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📂 Usage

Set up modular folders

python weclone_cli.py --init

🔍 Why This is Needed

Better organization enables faster onboarding and development. Privacy-aware preprocessing is essential for responsible AI.

• A single CLI interface lays the foundation for automating training, evaluation, and deployment.

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🛠️ Next Steps (Optional Improvements)

• Convert to a Python package with setup.py
• Add unit tests and CI
• Extend CLI to support LLM fine-tuning
• Add support for voice cloning and emotion tagging