adding latest documentation and changes to the script.

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# User Guide: AI Video Transcriber & Translator V2
This tool automates the process of extracting audio from videos, transcribing it using OpenAI Whisper, translating the text via AI (Gemini, Llama3, or Google), and embedding the results back into the video as soft subtitles.
## 📋 Prerequisites
1. **FFmpeg**: Must be installed on your host system.
* On Bazzite: `brew install ffmpeg`
2. **Ollama (Optional but Recommended)**: For private, local translation.
* Run `./ai_transcriber_v2/install_local_llm.sh`
* Pull a model: `ollama pull llama3`
3. **Python Packages**:
```bash
pip install -r ai_transcriber_v2/requirements.txt
```
## 🚀 How to Run
### 1. The Easy Way (Wizard)
Perfect for first-time runs or single folders.
```bash
./ai_transcriber_v2/run_wizard_v2.py
```
Follow the interactive prompts to set your languages, model size, and preferences.
### 2. The Power Way (CLI)
For advanced automation.
```bash
python3 ai_transcriber_v2/main.py /path/to/videos --lang English --prefer-local --embed --cleanup
```
### 3. The Library Fixer (Recovery)
If you have a folder with existing transcripts or partial translations that need fixing:
```bash
./ai_transcriber_v2/recover_and_fix_v2.py /path/to/folder
```
This script intelligently scans for missing translations or translations that don't match the video duration.
## 🛠 Features
* **Prefer Local LLM**: Use `--prefer-local` to prioritize your laptop's GPU (via Ollama) for all translations.
* **Safety First**: The script will NEVER replace your original video if the new one is significantly smaller or has a different duration.
* **Diarization**: Use `--diarize` to identify different speakers (requires HuggingFace token).
* **Graceful Exit**: Press `Ctrl+C` once to stop the script. It will finish the current file and save its progress before closing.
## 📂 File Naming Convention
- `video.srt`: Original language transcript.
- `video.English.srt`: Gemini translated subtitles.
- `video.English.deep_translate.srt`: Google Translate subtitles.
- `video.English.local_llm.srt`: Ollama translated subtitles.
- `video.subbed.mp4`: The final result with embedded soft-subs.