Upload myinfer_latest.py

myinfer_latest.py

@@ -224,7 +224,11 @@ def cut_vocal_and_inst(audio_path,spk_id,unique_id):
     #logs.append("Starting the audio splitting process...")
     #yield "\n".join(logs), None, None
     print("before executing splitter")
-    command = f"demucs --two-stems=vocals -n {split_model} {audio_path} -o  -o output/{spk_id}_{unique_id}"
+    command = f"demucs --two-stems=vocals -n {split_model} {audio_path} -o output/{spk_id}_{unique_id}"
+    
+    
+    
+    
     #result = subprocess.Popen(command.split(), stdout=subprocess.PIPE, text=True)
     result = subprocess.run(command.split(), stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
     if result.returncode != 0:
@@ -252,6 +256,8 @@ def combine_vocal_and_inst(vocal_path, inst_path, output_path):
     #command = f'ffmpeg -y -i "{inst_path}" -i "{vocal_path}" -filter_complex [0:a]volume={inst_volume}[i];[1:a]volume={vocal_volume}[v];[i][v]amix=inputs=2:duration=longest[a] -map [a] -b:a 320k -c:a libmp3lame "{output_path}"'
     #command=f'ffmpeg -y -i "{inst_path}" -i "{vocal_path}" -filter_complex "amix=inputs=2:duration=longest" -b:a 320k -c:a libmp3lame "{output_path}"'
     # Load the audio files
+    print(vocal_path)
+    print(inst_path)
     vocal = AudioSegment.from_file(vocal_path)
     instrumental = AudioSegment.from_file(inst_path)