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from transformers import pipeline
import os
import sys
class SpeechNoiseClassifier:
def __init__(self, model_name="speechVSnoise"):
self.model_name = model_name
self.pipe = pipeline("audio-classification", model=self.model_name)
def classify(self, file_path):
if not os.path.exists(file_path):
raise FileNotFoundError(f"File not found: {file_path}")
result = self.pipe(file_path)[0]
return result["label"]
audio_file = sys.argv[1]
classifier = SpeechNoiseClassifier()
label = classifier.classify(audio_file)
print(f"{audio_file} → {label}")
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