not use fluidsynth for haggingface space

.gitignore

@@ -1,3 +1,5 @@
 
 generated_music.mid
 output.wav
+
+flagged

app.py

@@ -4,7 +4,7 @@ import numpy as np
 import pretty_midi
 import tensorflow as tf
 import soundfile as sf
-import fluidsynth
+# import fluidsynth
 import subprocess
 from huggingface_hub import from_pretrained_keras
 
@@ -39,9 +39,9 @@ def predict_next_note(notes, keras_model, temperature=1.0):
 
 
 
-def convert_midi_to_wav(midi_path, wav_path, soundfont_path):
-    cmd = ["fluidsynth", "-ni", soundfont_path, midi_path, "-F", wav_path, "-r", "44100"]
-    subprocess.run(cmd)
+# def convert_midi_to_wav(midi_path, wav_path, soundfont_path):
+#     cmd = ["fluidsynth", "-ni", soundfont_path, midi_path, "-F", wav_path, "-r", "44100"]
+#     subprocess.run(cmd)
 
 
 def notes_to_midi(notes, out_file, instrument_name):
@@ -113,10 +113,10 @@ def generate_music(input_text, instrument_name="Acoustic Grand Piano"):
     output_file_name = "generated_music.mid"
     notes_to_midi(generated_notes_array, output_file_name, instrument_name)
 
-    try:
-        convert_midi_to_wav(output_file_name, 'output.wav', "GeneralUserGS.sf2")
-    except:
-        convert_midi_to_wav_with_pretty_midi(output_file_name, 'output.wav')
+    # try:
+    #     convert_midi_to_wav(output_file_name, 'output.wav', "GeneralUserGS.sf2")
+    # except:
+    convert_midi_to_wav_with_pretty_midi(output_file_name, 'output.wav')
 
     return 'output.wav'