update app.py

app.py

@@ -138,7 +138,7 @@ def inv_scaled_ou(matrix_spec):
     return matrix_spec
 
 
-def prediction(weights_path, name_model, audioData, dir_save_prediction, audio_input_prediction,
+def prediction(weights_path, name_model, audio_dir_prediction, dir_save_prediction, audio_input_prediction,
 audio_output_prediction, sample_rate, min_duration, frame_length, hop_length_frame, n_fft, hop_length_fft):
     """ This function takes as input pretrained weights, noisy voice sound to denoise, predict
     the denoise sound and save it to disk.
@@ -205,7 +205,7 @@ def denoise_audio(audioName):
   audio_dir_prediction = os.path.abspath("./")
   dir_save_prediction = os.path.abspath("./")
   audio_output_prediction = "test.wav"
-  audio_input_prediction = ["1.wav"]
+  audio_input_prediction = ["temp.wav"]
 
   min_duration = t
   frame_length = 8064
@@ -215,7 +215,7 @@ def denoise_audio(audioName):
 
   dim_square_spec = int(n_fft / 2) + 1
 
-  prediction(weights_path, name_model, data, dir_save_prediction, audio_input_prediction,
+  prediction(weights_path, name_model, audio_dir_prediction, dir_save_prediction, audio_input_prediction,
           audio_output_prediction, sample_rate, min_duration, frame_length, hop_length_frame, n_fft, hop_length_fft)
   print(audio_output_prediction)
   return audio_output_prediction