from huggingface_hub import snapshot_download

# Download the model from HuggingFace
model_dir = snapshot_download("jaesungbae/da-dsqa")

# Load pipeline (defaults to proposed_L_coarse_tau100.0)
from pipeline import PreTrainedPipeline
pipe = PreTrainedPipeline(model_dir)

# Run inference
result = pipe("/projects/bedl/jbae4/workspace_2026/severity_level_classifier_release/sample_wavs/Naturalness/level_1/d1b9444a-2ed1-438e-fd68-08dcb5d1edd7_1071_8831.wav")
print(result)