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feat: Allow loading fine-tuned models in simulstreaming

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This change modifies the `simulstreaming` backend to support loading fine-tuned Whisper models via the `--model_dir` argument.

The `SimulStreamingASR` class has been updated to:
- Use the `model_dir` path directly to load the model, which is the correct procedure for fine-tuned `.pt` files.
- Automatically disable the `faster-whisper` and `mlx-whisper` fast encoders when `model_dir` is used, as they are not compatible with standard fine-tuned models.

The call site in `core.py` already passed the `model_dir` argument, so no changes were needed there. This change makes the `simulstreaming` backend more flexible and allows users to leverage their own custom models.
This commit is contained in:
google-labs-jules[bot] 2025-09-27 07:29:30 +00:00
parent d55490cd27
commit 70e854b346
1 changed files with 7 additions and 3 deletions
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6
whisperlivekit/simul_whisper/backend.py
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@ -210,11 +210,15 @@ class SimulStreamingASR():
else: else:
self.tokenizer = None self.tokenizer = None
if model_dir:
self.model_name = model_dir
self.model_path = None
else:
self.model_name = os.path.basename(self.cfg.model_path).replace(".pt", "") self.model_name = os.path.basename(self.cfg.model_path).replace(".pt", "")
self.model_path = os.path.dirname(os.path.abspath(self.cfg.model_path)) self.model_path = os.path.dirname(os.path.abspath(self.cfg.model_path))
self.mlx_encoder, self.fw_encoder = None, None self.mlx_encoder, self.fw_encoder = None, None
if not self.disable_fast_encoder: if not self.disable_fast_encoder and not model_dir:
if HAS_MLX_WHISPER: if HAS_MLX_WHISPER:
print('Simulstreaming will use MLX whisper for a faster encoder.') print('Simulstreaming will use MLX whisper for a faster encoder.')
mlx_model_name = mlx_model_mapping[self.model_name] mlx_model_name = mlx_model_mapping[self.model_name]