fix cnn

app/main.py

@@ -212,7 +212,7 @@ SAMPLE_RATE = 44100  # sample rate to use
 N_MELS = 128  # number of Mel bands to generate
 HOP_LENGTH = 512  # number of samples between successive frames
 
-def preprocess_audio(file_path):
+def preprocess_audio_cnn(file_path):
     try:
         # Load the audio file
         audio, sr = librosa.load(file_path, sr=SAMPLE_RATE)
@@ -289,7 +289,7 @@ async def handle_cnn(file: UploadFile = File(...)):
         
         spectrograms = []
 
-        clips = preprocess_audio(temp_filename)
+        clips = preprocess_audio_cnn(temp_filename)
         for clip in clips:
             spectrogram = generate_spectrogram(clip)
             if np.isnan(spectrogram).any() or np.isinf(spectrogram).any():