Update app.py

app.py

@@ -323,25 +323,6 @@ def voice_conversion(input, reference, steps, guidance, speed):
         final_audio = final_audio / max_val
     print("[INFO] | Final audio normalized.")
 
-    # Smoothen the audio to reduce distorted audio
-    def butter_bandpass_filter_filtfilt(data, lowcut=80, highcut=6000, fs=sr_current, order=4):
-        nyq = 0.5 * fs
-        low = lowcut / nyq
-        high = highcut / nyq
-        b, a = butter(order, [low, high], btype='band')
-        y = filtfilt(b, a, data)
-        return y
-
-    final_audio = butter_bandpass_filter_filtfilt(final_audio)
-    print("[INFO] | Final audio smoothed with low-pass filter.")
-
-    noise_duration = 0.5  # in seconds
-    noise_sample = final_audio[:int(noise_duration * sr_current)]
-    
-    # Perform noise reduction
-    final_audio = nr.reduce_noise(y=final_audio, sr=sr_current, y_noise=noise_sample, prop_decrease=1.0)
-    print("[INFO] | Final audio noise reduced using noisereduce with noise sample.")
-    
     # Save the audio to a temporary WAV file
     print("[INFO] | Saving final audio to a temporary WAV file.")
     with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp_file:
@@ -372,7 +353,7 @@ with gr.Blocks(css=css) as main:
         reference_input = gr.Audio(label="Reference Audio", type="filepath")
         
     with gr.Column():
-        steps = gr.Slider(label="Steps", value=1, minimum=1, maximum=100, step=1)
+        steps = gr.Slider(label="Steps", value=2, minimum=1, maximum=100, step=1)
         guidance = gr.Slider(label="Guidance", value=0.7, minimum=0.0, maximum=1.0, step=0.1)
         speed = gr.Slider(label="Speed", value=1.0, minimum=0.5, maximum=2.0, step=0.1)