adding latest documentation and changes to the script.

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# Current State of AI Transcriber V2
**Date:** January 12, 2026
**Version:** 2.0 (Refactored & Robust)
## 🚀 Recently Completed Features
1. **Unified Translation Logic**: All scripts now use a shared fallback pipeline: **Primary (User Pref) -> Secondary -> Local LLM (Ollama) -> MyMemory**.
2. **Flattened Directory Structure**: Removed nested `ai_transcriber_v2/ai_transcriber_v2` folders. All V2 modules are now in the root of `ai_transcriber_v2/`.
3. **Flatpak & Bazzite Compatibility**:
* Added `flatpak-spawn --host` support for `ffmpeg`, `ffprobe`, and `ollama`.
* Updated `mount_truenas.sh` to handle UID/GID mapping for write permissions on remote shares.
4. **Hardware-Accelerated Safety Checks**:
* **Size Validation**: Rejects any remuxed file that drops more than 20% of the original size.
* **Duration Validation**: Rejects any remuxed file where the duration differs by more than 1 second.
* **Zero-Byte Check**: Deletes empty outputs immediately.
5. **Intelligent Skipping**:
* Whisper detects source language; if it matches the target (e.g., English to English), translation is skipped entirely.
6. **Progress Tracking**:
* Integrated `tqdm` progress bars for iterative translation steps.
* Enabled `verbose=True` for Whisper to show live transcription segments.
7. **Stability**:
* Fixed SQLAlchemy `DetachedInstanceError` by expunging objects from sessions in `tracker.py`.
* Added `GracefulKiller` for clean `Ctrl+C` shutdowns (finishes current file, then exits).
## 🛠 Active Setup
- **Environment**: Bazzite (Linux) running VS Code via Flatpak.
- **Local LLM**: Ollama with `llama3` (or `dolphin-llama3`).
- **Media Tools**: Host-level FFmpeg/FFprobe accessible via `flatpak-spawn`.
## 📌 Next Steps / Future Ideas
- Consider batching small SRT segments for Gemini to reduce API calls and improve context.
- Add a GUI or Web dashboard for tracking `job_history.db`.
- Implement auto-retry for specific "failed_validation" files with different model parameters.