Update app.py

app.py

@@ -58,7 +58,7 @@ def classify_audio(audio):
     return prediction,"mel_spectrogram.png"
     
 title=" Group-2 Audio Spoof detection using CNN"
-description="The model was trained on the ASVspoof 2019 dataset with an aim to detect spoof audios through deep learning.To use it please upload an audio file of suitable length. The Mel spectrogram used for inferencing is also available for the user to understand the classification and compare it with the median Human decibal range."
+description="The model was trained on the ASVspoof 2019 dataset with an aim to detect spoof audios through deep learning.To use it please upload an audio file of suitable length. The Mel spectrogram used for inferencing is also available for the user to understand the classification and compare it with the median Human decibel range."
  
 iface = gr.Interface(classify_audio, inputs=["audio"], outputs=["text","image"],title=title,description=description)
 iface.launch()