generate temp folder
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+2
-1
@@ -6,7 +6,8 @@ from load_estimation_model import load_estimation_model
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def predict_from_times(wav_filename, preds_filename, begin, end, csv_export=True):
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tmp_features_filename = "temp/" + next(tempfile._get_candidate_names()) + ".txt"
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tmp_features_filename = generate_tmp_filename("txt")
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#tmp_features_filename = "temp/" + next(tempfile._get_candidate_names()) + ".txt"
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print("Input Array Path: " + tmp_features_filename)
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predictions = None
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