Ethanfel
808580b771
Wrap `from omnivoice import OmniVoice` in a try/except ImportError, setting OmniVoice=None when absent. Add a clear runtime ImportError in load_model() so users get an actionable message. Allows `from nodes.loader import OmniVoiceModelLoader` to succeed outside of pytest (where conftest.py injects the mock) while keeping all 13 tests green. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
69 lines
1.8 KiB
Python
69 lines
1.8 KiB
Python
import os
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import torch
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try:
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from omnivoice import OmniVoice
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except ImportError:
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OmniVoice = None # deferred; will raise at runtime if package is missing
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try:
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import folder_paths
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CACHE_DIR = os.path.join(folder_paths.models_dir, "omnivoice")
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except ImportError:
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CACHE_DIR = os.path.join(os.path.expanduser("~"), ".cache", "omnivoice")
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DTYPE_MAP = {
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"float16": torch.float16,
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"bfloat16": torch.bfloat16,
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"float32": torch.float32,
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}
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class OmniVoiceModelLoader:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"model_source": (
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["Auto-download (HuggingFace)", "Local path"],
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{"default": "Auto-download (HuggingFace)"},
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),
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"device": (
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["cuda:0", "cuda:1", "cpu"],
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{"default": "cuda:0"},
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),
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"dtype": (
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["float16", "bfloat16", "float32"],
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{"default": "float16"},
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),
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},
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"optional": {
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"local_path": ("STRING", {"default": ""}),
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},
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}
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RETURN_TYPES = ("OMNIVOICE_MODEL",)
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RETURN_NAMES = ("model",)
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FUNCTION = "load_model"
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CATEGORY = "OmniVoice"
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def load_model(self, model_source, device, dtype, local_path=""):
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if OmniVoice is None:
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raise ImportError(
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"omnivoice is not installed. Run: pip install omnivoice"
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)
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if model_source == "Local path" and local_path:
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source = local_path
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else:
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source = "k2-fsa/OmniVoice"
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model = OmniVoice.from_pretrained(
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source,
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device_map=device,
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dtype=DTYPE_MAP[dtype],
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cache_dir=CACHE_DIR,
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)
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return (model,)
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