Update app.py

app.py

@@ -81,9 +81,7 @@ def inference(audio, model):
     pred = model.predict(audio_sample, batch_size=1, verbose=0)  
     return input, pred.squeeze(), sr
 
-def predict(audio, micro):
- 
-    input = audio if audio is not None else micro
+def predict(audio):
     x, x_pred, sr = inference(audio, model)
     fig, ax = plt.subplots(nrows=2, ncols=1, sharex=True, figsize=(10, 8), dpi=120)
     D = librosa.amplitude_to_db(np.abs(librosa.stft(x)), ref=np.max)
@@ -100,13 +98,10 @@ def predict(audio, micro):
     return plt.gcf()
 
 inputs = [
-         gr.Audio(source = "upload", label='Upload audio file', type="filepath"),
-         gr.Audio(source = "microphone", label='Record audio from microphone', type="filepath")
+        gr.Audio(source = "upload", label='Upload audio file', type="filepath"),
 ]
 
-examples = [
-            
-]
+examples = ['sample_1.wav', 'sample_2.wav']
 
 gr.Interface(
     fn=predict,