Add complete Mail Fine-Tuning Web-App for macOS Apple Silicon

Implemented a full-stack web application for fine-tuning LLMs on email data, optimized for Apple Silicon (M4 Pro with 24GB RAM).

Features:
- Mail import with drag & drop support (.mbox, .eml, .txt)
- Automated mail cleaning and preprocessing
- Interactive labeling interface with keyboard shortcuts
- Training data export to JSONL format
- MLX-based LoRA fine-tuning with live updates
- Model evaluation and comparison interface
- Server-Sent Events for real-time training progress
- Dark theme UI optimized for extended use

Technical Stack:
- Backend: FastAPI with SQLite database
- Frontend: Vanilla HTML/CSS/JavaScript (no external dependencies)
- ML Framework: MLX for Apple Silicon optimization
- Models: Support for Mistral 7B and Llama 3 8B via MLX

Components:
- data_manager.py: SQLite operations for mail storage and labeling
- mail_parser.py: Parser for multiple mail formats with cleaning
- training.py: MLX training wrapper with LoRA support
- inference.py: Model loading and inference for evaluation
- main.py: FastAPI backend with REST API and SSE
- Frontend: Complete UI with all features

Documentation:
- Comprehensive README with installation and usage guide
- Quick-start guide for rapid setup
- Example mails for testing
- Troubleshooting and best practices

Ready for local deployment and fine-tuning workflows.

training/example_mails/test3.txt

@@ -0,0 +1,22 @@
+Subject: Meeting Notes - Produktlaunch Vorbereitung
+From: lisa.mueller@startup.io
+To: team@startup.io
+Date: 2024-03-17
+
+Hi alle,
+
+hier die wichtigsten Punkte vom heutigen Meeting zum Produktlaunch:
+
+1. Sarah bereitet die Pressemitteilung vor (Deadline: Freitag)
+2. Marketing-Team erstellt Social Media Content für nächste Woche
+3. Ich kümmere mich um die Influencer-Kontakte
+4. Wir brauchen noch finale Produktfotos vom Design-Team
+5. Launch-Event ist am 1. April - Location muss noch gebucht werden
+6. Website-Landing-Page muss bis Mittwoch live gehen
+
+Bitte gebt bis Mittwoch Bescheid ob ihr eure Aufgaben schaffen könnt.
+Bei Problemen sofort melden!
+
+Danke an alle für die tolle Zusammenarbeit!
+
+Lisa