MIDI-Match / app.py
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import argparse
import glob
import os.path
import gradio as gr
import pickle
import tqdm
import json
import MIDI
from midi_synthesizer import synthesis
import matplotlib.pyplot as plt
in_space = os.getenv("SYSTEM") == "spaces"
def run(midi, progress=gr.Progress()):
mid_seq = MIDI.midi2score(midi)
for m in progress.tqdm(meta_data):
mid_seq = m[1][17:-1]
mid_seq_ticks = m[1][16][1]
mdata = m[1][:16]
break
x = []
y = []
c = []
colors = ['red', 'yellow', 'green', 'cyan',
'blue', 'pink', 'orange', 'purple',
'gray', 'white', 'gold', 'silver',
'lightgreen', 'indigo', 'maroon', 'turquoise']
for s in [m for m in mid_seq if m[0] == 'note']:
x.append(s[1])
y.append(s[4])
c.append(colors[s[3]])
plt.close()
plt.figure(figsize=(14,5))
ax=plt.axes(title='MIDI Search Plot')
ax.set_facecolor('black')
plt.scatter(x,y, c=c)
plt.xlabel("Time")
plt.ylabel("Pitch")
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 mdata, "output.mid", (44100, audio), plt
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"
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("<h1 style='text-align: center; margin-bottom: 1rem'>MIDI Match</h1>")
gr.Markdown("![Visitors](https://api.visitorbadge.io/api/visitors?path=asigalov61.MIDI-Match&style=flat)\n\n"
"MIDI Match\n\n"
"Demo for [MIDI Match](https://github.com/asigalov61)\n\n"
"[Open In Colab]"
"(https://colab.research.google.com/github/asigalov61/MIDI-Match/blob/main/demo.ipynb)"
" for faster running and longer generation"
)
input_midi = gr.File(label="input midi", file_types=[".midi", ".mid"], type="binary")
search_btn = gr.Button("search", variant="primary")
output_audio = gr.Audio(label="output audio", format="mp3", elem_id="midi_audio")
output_midi = gr.File(label="output midi", file_types=[".mid"])
output_midi_seq = gr.Textbox(label="output midi metadata")
output_plot = gr.Plot(label="output midi plot")
run_event = search_btn.click(run, [input_midi],
[output_midi_seq, output_midi, output_audio, output_plot])
app.queue(1).launch(server_port=opt.port, share=opt.share, inbrowser=True)