update app.py

app.py

@@ -191,7 +191,7 @@ audio_output_prediction, sample_rate, min_duration, frame_length, hop_length_fra
 
 def denoise_audio(audioName):
   sr, data = audioName
-  sf.write("temp.wav",data, 44100)
+  sf.write("temp.wav",data, sr)
   testNo = "temp"
   audio_dir_prediction = os.path.abspath("/")+ str(testNo) +".wav"
   sample_rate, data = audioName[0], audioName[1]
@@ -230,8 +230,7 @@ examples = [
 
 iface = gr.Interface(fn = denoise_audio,
                      inputs = 'audio',
-                     outputs = 'audio', 
-                     verbose = True,
+                     outputs = 'audio',
                      title = 'audio to denoised Audio Application',
                      description = 'A simple application to denoise audio speech usinf UNet deep learning model. Upload your own audio, or click one of the examples to load them.',
                      article =