Files
whisper_voice/RELEASE_NOTES.md
Your Name 6737ed4547 Release v1.0.4: The Compatibility Update
- Added robust CPU Fallback for AMD/Non-CUDA GPUs.
- Implemented Lazy Load for AI Engine to prevent startup crashes.
- Added explicit DLL injection for Cublas/Cudnn on Windows.
- Added Corrupt Model Auto-Repair logic.
- Includes pre-compiled v1.0.4 executable.
2026-01-25 20:28:01 +02:00

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# Release v1.0.4
**"The Compatibility Update"**
This release focuses on maximum stability across different hardware configurations (AMD, Intel, Nvidia) and fixing startup crashes related to corrupted models or missing drivers.
## 🛠️ Critical Fixes
### 1. Robust CPU Fallback (AMD / Intel Support)
* **Problem**: Previously, if an AMD user tried to run the app, it would crash instantly because it tried to load Nvidia CUDA libraries by default.
* **Fix**: The app now **silently detects** if CUDA initialization fails (due to missing DLLs or incompatible hardware) and **automatically falls back to CPU mode**.
* **Result**: The app "just works" on any Windows machine, regardless of GPU.
### 2. Startup Crash Protection
* **Problem**: If `faster_whisper` was imported before checking for valid drivers, the app would crash on launch for some users.
* **Fix**: Implemented **Lazy Loading** for the AI engine. The app now starts the UI first, and only loads the heavy AI libraries inside a safety block that catches errors.
### 3. Corrupt Model Auto-Repair
* **Problem**: Interrupted downloads could leave a corrupted model folder, preventing the app from ever starting again.
* **Fix**: If the app detects a "vocabulary missing" or invalid config error, it will now **automatically delete the corrupt folder** and allow you to re-download it cleanly.
### 4. Windows DLL Injection
* **Fix**: Added explicit DLL path injection for `nvidia-cublas` and `nvidia-cudnn` to ensure Python 3.8+ can find the required CUDA libraries on Windows systems that don't have them in PATH.
## 📦 Installation
1. Download `WhisperVoice.exe` below.
2. Replace your existing `.exe`.
3. Run it.