import argparse import glob import os.path import gradio as gr import pickle import tqdm import json import MIDI from midi_synthesizer import synthesis in_space = os.getenv("SYSTEM") == "spaces" def run(search_prompt, mid=None): mid_seq = [] if mid == None: for m in meta_data: mid_seq.extend(m[1][17:]) mid_seq_ticks = m[1][16][1] break elif mid is not None: mid_seq = MIDI.midi2score(mid) with open(f"output.mid", 'wb') as f: f.write(MIDI.score2midi([mid_seq_ticks, mid_seq])) audio = synthesis(MIDI.score2opus([mid_seq_ticks, mid_seq]), soundfont_path) yield mid_seq, "output.mid", (44100, audio) def cancel_run(mid_seq): if mid_seq is None: return None, None with open(f"output.mid", 'wb') as f: f.write(MIDI.score2midi([1000, mid_seq])) audio = synthesis(MIDI.score2opus([1000, mid_seq]), soundfont_path) return "output.mid", (44100, audio) if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--share", action="store_true", default=False, help="share gradio app") parser.add_argument("--port", type=int, default=7860, help="gradio server port") parser.add_argument("--max-gen", type=int, default=1024, help="max") opt = parser.parse_args() soundfont_path = "SGM-v2.01-YamahaGrand-Guit-Bass-v2.7.sf2" meta_data_path = "meta-data/LAMD_META_10000.pickle" models_info = {"generic pretrain model": ["skytnt/midi-model", ""], "j-pop finetune model": ["skytnt/midi-model-ft", "jpop/"], "touhou finetune model": ["skytnt/midi-model-ft", "touhou/"]} print('Loading meta-data...') with open(meta_data_path, 'rb') as f: meta_data = pickle.load(f) print('Done!') app = gr.Blocks() with app: gr.Markdown("

MIDI Search

") gr.Markdown("![Visitors](https://api.visitorbadge.io/api/visitors?path=asigalov61.MIDI-Search&style=flat)\n\n" "MIDI Search and Explore\n\n" "Demo for [MIDI Search](https://github.com/asigalov61)\n\n" "[Open In Colab]" "(https://colab.research.google.com/github/asigalov61/MIDI-Search/blob/main/demo.ipynb)" " for faster running and longer generation" ) with gr.Tabs(): with gr.TabItem("instrument prompt") as tab1: search_prompt = gr.Textbox(label="search prompt") with gr.TabItem("midi prompt") as tab2: input_midi = gr.File(label="input midi", file_types=[".midi", ".mid"], type="binary") with gr.Accordion("options", open=False): input_allow_cc = gr.Checkbox(label="allow midi cc event", value=True) search_btn = gr.Button("search", variant="primary") stop_btn = gr.Button("stop and output") output_midi_seq = gr.Textbox() output_audio = gr.Audio(label="output audio", format="mp3", elem_id="midi_audio") output_midi = gr.File(label="output midi", file_types=[".mid"]) run_event = search_btn.click(run, [search_prompt], [output_midi_seq, output_midi, output_audio]) stop_btn.click(cancel_run, output_midi_seq, [output_midi, output_audio], cancels=run_event, queue=False) app.queue(1).launch(server_port=opt.port, share=opt.share, inbrowser=True)