Update app.py

app.py

@@ -192,10 +192,9 @@ def apply_noisereduce(audio_list):
             # Convert audio to numpy array
             samples = np.array(audio.get_array_of_samples())
 
-            # Reduce noise
             reduced_noise = nr.reduce_noise(y=samples, sr=audio.frame_rate, prop_decrease=0.6)
 
-            # Convert reduced noise signal back to audio
+
             reduced_audio = AudioSegment(
                 reduced_noise.tobytes(),
                 frame_rate=audio.frame_rate,
@@ -203,7 +202,7 @@ def apply_noisereduce(audio_list):
                 channels=audio.channels
             )
 
-            # Save reduced audio to file
+
             reduced_audio.export(out_path, format="wav")
             result.append(out_path)
 
@@ -233,7 +232,7 @@ def run(audio_files, file_m, file_index):
 
     random_tag = "USER_" + str(random.randint(10000000, 99999999))
 
-    # Hardcoding pitch algorithm and other parameters
+
     pitch_alg = "rmvpe+"
     pitch_lvl = 0
     index_inf = 0.75
@@ -257,11 +256,10 @@ def run(audio_files, file_m, file_index):
 
     result = convert_now(audio_files, random_tag, converter)
 
-    # # Always apply noise reduction
-    # result = apply_noisereduce(result)
+    # Always apply noise reduction
+    result = apply_noisereduce(result)
 
     return result
-
 def model_conf():
     model_files = [f for f in os.listdir("models") if f.endswith(".pth")]
     return gr.Dropdown(