label once more

app.py

@@ -70,9 +70,6 @@ import torch
 from audio_separator import Separator  
 
 def inference(audio, vocals, bass, drums, other, piano, guitar, lead_vocals, backing_vocals):
-    status_message = "Processing..."
-
-
     os.makedirs("out", exist_ok=True)
     audio_path = 'test.wav'
     write(audio_path, audio[0], audio[1])
@@ -85,14 +82,14 @@ def inference(audio, vocals, bass, drums, other, piano, guitar, lead_vocals, bac
         print("Demucs script output:", process.stdout.decode())
     except subprocess.CalledProcessError as e:
         print("Error in Demucs script:", e.stderr.decode())
-        return [gr.Audio(visible=False)] * 8 + [loading_gif_path]
+        return [gr.Audio(visible=False)] * 8 + ["Failed to process audio."]
 
     try:
         separator = Separator("./out/htdemucs_6s/test/vocals.wav", model_name='UVR_MDXNET_KARA_2', use_cuda=device=='cuda', output_format='wav')
         primary_stem_path, secondary_stem_path = separator.separate()
     except Exception as e:
         print("Error in custom separation:", str(e))
-        return [gr.Audio(visible=False)] * 8 + [loading_gif_path]
+        return [gr.Audio(visible=False)] * 8 + ["Failed to process audio."]
 
     stem_paths = {
         "vocals": "./out/htdemucs_6s/test/vocals.wav" if vocals else None,
@@ -105,9 +102,7 @@ def inference(audio, vocals, bass, drums, other, piano, guitar, lead_vocals, bac
         "backing_vocals": secondary_stem_path if backing_vocals else None
     }
 
-    # Once processing is done, hide the GIF by returning a transparent image
-
-    return [gr.Audio(stem_paths[stem], visible=bool(stem_paths[stem])) for stem in stem_paths], "Done! Successfully processed."
+    return tuple([gr.Audio(stem_paths[stem], visible=bool(stem_paths[stem])) for stem in stem_paths]) + ("Done! Successfully processed.",)
 
 # Define checkboxes for each stem
 checkbox_labels = ["Full Vocals", "Bass", "Drums", "Other", "Piano", "Guitar", "Lead Vocals", "Backing Vocals"]
@@ -125,5 +120,3 @@ iface = gr.Interface(
 )
 
 iface.launch()
-
-