Updated full code

app.py

@@ -1,67 +1,51 @@
 import os
 import gradio as gr
 from scipy.io.wavfile import write
-import subprocess 
-
-
-from audio_separator import Separator
-
+import subprocess
 
+from audio_separator import Separator  # Ensure this is correctly implemented
 
 def inference(audio):
     os.makedirs("out", exist_ok=True)
-    write('test.wav', audio[0], audio[1])
-
-    command = "python3 -m demucs.separate -n htdemucs_6s -d cpu test.wav -o out"
-    process = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-    print("Demucs script output:", process.stdout.decode())
-  
-    os.makedirs("out", exist_ok=True)
-    write('test.wav', audio[0], audio[1])
-    result = os.system("python3 -m demucs.separate -n htdemucs_6s -d cpu test.wav -o out")
-    print(f"Demucs script result: {result}")
-    
-    # Initialize the Separator with the audio file and model name
-    separator = Separator("./out/mdx_extra_q/test/vocals.wav", model_name='UVR_MDXNET_KARA_2',use_cuda=False,output_format='mp3')
-    primary_stem_path, secondary_stem_path = separator.separate()
-    
-    print(f'Primary stem saved at {primary_stem_path}')
-    print(f'Secondary stem saved at {secondary_stem_path}')
-
-    # Check if files exist before returning
-    files = ["./out/htdemucs_6s/test/vocals.wav",
-            secondary_stem_path,
-            primary_stem_path,
-             "./out/htdemucs_6s/test/bass.wav",
-             "./out/htdemucs_6s/test/drums.wav",
-             "./out/htdemucs_6s/test/other.wav",
-              "./out/htdemucs_6s/test/piano.wav",
-              "./out/htdemucs_6s/test/guitar.wav",
-            ]
-
-    
-    for file in files:
-        if not os.path.isfile(file):
-            print(f"File not found: {file}")
-        else:
-            print(f"File exists: {file}")
-
-    return files
-  
-title = "Source Sepration Demo"
-description = "Music Source Separation in the Waveform Domain. To use it, simply upload your audio"
+    audio_path = 'test.wav'
+    write(audio_path, audio[0], audio[1])
+
+    try:
+        # Using subprocess.run for better control
+        command = f"python3 -m demucs.separate -n htdemucs_6s -d cpu {audio_path} -o out"
+        process = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+        print("Demucs script output:", process.stdout.decode())
+    except subprocess.CalledProcessError as e:
+        print("Error in Demucs script:", e.stderr.decode())
+        return None
+
+    try:
+        # Separating the stems using your custom separator
+        separator = Separator("./out/htdemucs_6s/test/vocals.wav", model_name='UVR_MDXNET_KARA_2', use_cuda=False, output_format='mp3')
+        primary_stem_path, secondary_stem_path = separator.separate()
+    except Exception as e:
+        print("Error in custom separation:", str(e))
+        return None
+
+    # Collecting all file paths
+    files = [f"./out/htdemucs_6s/test/{stem}.wav" for stem in ["vocals", "bass", "drums", "other", "piano", "guitar"]]
+    files.extend([primary_stem_path, secondary_stem_path])
+
+    # Check if files exist
+    existing_files = [file for file in files if os.path.isfile(file)]
+    if not existing_files:
+        print("No files were created.")
+        return None
+
+    return existing_files
+
+# Gradio Interface
+title = "Source Separation Demo"
+description = "Music Source Separation in the Waveform Domain. To use it, simply upload your audio."
 gr.Interface(
     inference, 
     gr.components.Audio(type="numpy", label="Input"), 
-    [gr.components.Audio(type="filepath", label="Full Vocals"),
-    gr.components.Audio(type="filepath", label="Lead Vocals"),
-    gr.components.Audio(type="filepath", label="Chorus"),
-     gr.components.Audio(type="filepath", label="Bass"),
-     gr.components.Audio(type="filepath", label="Drums"),
-     gr.components.Audio(type="filepath", label="Other"),
-     gr.components.Audio(type="filepath", label="Piano"),
-     gr.components.Audio(type="filepath", label="Guitar"),
-    ],
+    [gr.components.Audio(type="filepath", label=stem) for stem in ["Full Vocals", "Lead Vocals", "Chorus", "Bass", "Drums", "Other", "Piano", "Guitar"]],
     title=title,
     description=description,
-).launch(share=True)
+).launch()