| import gradio as gr | |
| import subprocess | |
| import os | |
| def recognize_music(pdf_file): | |
| """Converts a PDF file to a Music score | |
| Args: | |
| pdf_file: the file with the PDF file | |
| Returns: | |
| the path were the MusicXML file is generated | |
| """ | |
| audiveris = "/opt/audiveris/bin/Audiveris" | |
| output_dir = "/tmp/output" | |
| pdf_file_path = pdf_file.name | |
| pdf_file_name = os.path.basename(pdf_file.name) | |
| musicXml_file_name = os.path.splitext(pdf_file_name)[0]+".mxl" | |
| output_file = output_dir + "/" + musicXml_file_name | |
| cmd = [ | |
| audiveris, "-batch", "-export", "-output", output_dir, pdf_file_path | |
| ] | |
| result = subprocess.run(cmd, capture_output=True, text=True) | |
| print (f"Done. Music score file saved to {output_file}\n\n{result.stdout}\n{result.stderr}") | |
| return output_file | |
| audiveris = gr.Interface( | |
| fn=recognize_music, | |
| inputs=gr.File(file_types=[".pdf"], label="Upload PDF music score"), | |
| outputs=gr.File(label="Download MusicXML file"), | |
| description="Upload a PDF music socre and create a MusicXML file from it.", | |
| ) | |
| audiveris.launch(server_name="0.0.0.0", mcp_server=True, share=True) | |