- Exposed 'seed' parameter in VoxCPMModel and VoxCPM2Model generation methods.
- Added PyTorch RNG seed setting before inference runs.
- Handled 'retry_badcase' seed adjustment by incrementing the seed value on retries.
- Exposed 'self.last_successful_seed' as a model attribute for UI integrations.
- Propagated 'seed' parameter to high-level pipeline class and CLI tools (cli.py).
- Added '--seed' flag to full-finetune and LoRA inference scripts.
- Configured validation audio generation in training script to use a fixed seed for objective comparison on TensorBoard.
- Added comprehensive unit tests in CLI test files to validate seed parsing and propagation.
- Updated English and Chinese READMEs with seed usage examples.
Support optional ref_audio samples in finetuning and make runtime device selection explicit while keeping auto fallback behavior consistent. Also ignore the local app override file to avoid accidental commits.
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