Updated for unix support

app.py

@@ -5,9 +5,23 @@ import librosa.display
 import matplotlib.pyplot as plt
 import numpy as np
 import os
+from pathlib import Path, PureWindowsPath
 
 # Load your fastai model
-learn_inf = load_learner('export.pkl')
+def load_model(path):
+    if os.name == 'nt':
+        # For Windows
+        learn_inf = load_learner(path)
+    else:
+        # For Unix
+        path = Path(path)
+        path = path.as_posix()  # Convert to POSIX path
+        learn_inf = load_learner(path)
+    return learn_inf
+
+
+# Load your fastai model
+learn_inf = load_model('export.pkl')
 
 # Function to save mel spectrogram and run inference
 def save_mel_spectrogram_and_predict(wav_path):