Update app.py

app.py

@@ -32,7 +32,7 @@ if uploaded_file is not None:
     audio_input, sampling_rate = sf.read(uploaded_file)
     
     # Preprocess audio input
-    inputs = feature_extractor(audio_input, sampling_rate=sampling_rate, return_tensors="pt", padding=True)
+    inputs = feature_extractor(audio_input, sampling_rate=16000, return_tensors="pt", padding=True)
     inputs = {key: value.to('cuda' if torch.cuda.is_available() else 'cpu') for key, value in inputs.items()}
     
     # Get prediction