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fixing cache
Browse files- src/detector.py +12 -1
src/detector.py
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from transformers import pipeline
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def detect_accent(audio_path: str):
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result = asr(audio_path)
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import os
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from huggingface_hub import snapshot_download
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from transformers import pipeline
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# Create and set custom cache dir
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cache_dir = "./hf_cache"
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os.makedirs(cache_dir, exist_ok=True)
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os.environ["TRANSFORMERS_CACHE"] = cache_dir
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# Manually download model to avoid permission/lock errors
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model_path = snapshot_download(repo_id="openai/whisper-base", cache_dir=cache_dir)
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# Load the pipeline from the local path
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asr = pipeline("automatic-speech-recognition", model=model_path)
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def detect_accent(audio_path: str):
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result = asr(audio_path)
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