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| import os | |
| import sys | |
| print(f"Python: {sys.version}") | |
| try: | |
| import numpy | |
| print(f"Numpy: {numpy.__version__}") | |
| except ImportError as e: | |
| print(f"Numpy error: {e}") | |
| try: | |
| import librosa | |
| print(f"Librosa: {librosa.__version__}") | |
| except ImportError as e: | |
| print(f"Librosa error: {e}") | |
| try: | |
| import tensorflow as tf | |
| print(f"TensorFlow: {tf.__version__}") | |
| except ImportError as e: | |
| print(f"TensorFlow error: {e}") | |
| # Try loading one file | |
| try: | |
| test_file = r"c:\Users\ASUS\lung_ai_project\data\cough\healthy\101_1b1_Al_sc_Meditron.wav" | |
| if os.path.exists(test_file): | |
| print(f"Testing librosa load on {test_file}") | |
| y, sr = librosa.load(test_file, duration=1) | |
| print(f"Loaded audio shape: {y.shape}, SR: {sr}") | |
| mfccs = librosa.feature.mfcc(y=y, sr=sr, n_mfcc=13) | |
| print(f"MFCC shape: {mfccs.shape}") | |
| else: | |
| print("Test file not found (ok if directory structure changed)") | |
| except Exception as e: | |
| print(f"Librosa processing error: {e}") | |