Upload myinfer_latest.py

myinfer_latest.py

@@ -182,15 +182,15 @@ def api_convert_voice():
         #created_files.append(input_audio_path)
         
         #split audio
-        #cut_vocal_and_inst(input_audio_path,spk_id,unique_id)
-        #print("audio splitting performed")
-        #vocal_path = f"output/{spk_id}_{unique_id}/{split_model}/{spk_id}_input_audio_{unique_id}/vocals.wav"
-        #inst = f"output/{spk_id}_{unique_id}/{split_model}/{spk_id}_input_audio_{unique_id}/no_vocals.wav"
-        #print("*****before making call to convert ", unique_id)
+        cut_vocal_and_inst(input_audio_path,spk_id,unique_id)
+        print("audio splitting performed")
+        vocal_path = f"output/{spk_id}_{unique_id}/{split_model}/{spk_id}_input_audio_{unique_id}/vocals.wav"
+        inst = f"output/{spk_id}_{unique_id}/{split_model}/{spk_id}_input_audio_{unique_id}/no_vocals.wav"
+        print("*****before making call to convert ", unique_id)
         output_queue = SimpleQueue()
         ctx = get_context('spawn')
     # Create and start the process
-        p = ctx.Process(target=worker, args=(spk_id, "s", voice_transform, unique_id, output_queue))
+        p = ctx.Process(target=worker, args=(spk_id, vocal_path, voice_transform, unique_id, output_queue,))
         p.start()
     
     # Wait for the process to finish and get the result