Update app.py

app.py

@@ -9,18 +9,7 @@ from glob import glob
 import librosa
 from midi2audio import FluidSynth
 fs = FluidSynth()
-def trim_silence(filename, threshold=0.1, duration=0.5):
-    y, sr = librosa.load(filename, sr=None)
-    silent_frames = librosa.effects.split(y, top_db=threshold)
-    total_duration = librosa.get_duration(y=y, sr=sr)
-    duration_samples = int(duration * sr)
-    trimmed_audio = []
-    for start, end in silent_frames:
-        if end - start > duration_samples:
-            trimmed_audio.extend(y[start:end])
-    trimmed_audio = np.array(trimmed_audio)
-    librosa.output.write_wav(filename, y, sr=sr)
-    return trimmed_audio, sr
+
 def gen(piano_only, length):
     midi = ''
     for item in musicgen(piano_only=piano_only, length=length):
@@ -33,7 +22,6 @@ def gen(piano_only, length):
     with tempfile.NamedTemporaryFile(suffix='.midi', delete=False) as tmp, tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as aud:
         mid.save(tmp.name)
         fs.midi_to_audio(tmp.name, aud.name)
-        trim_silence(aud.name)
         yield midi, tmp.name, aud.name
 with gr.Blocks() as demo:
     gr.Markdown("# RWKV 4 Music (MIDI)\n\nThis demo uses the RWKV 4 MIDI model available [here](https://huggingface.co/BlinkDL/rwkv-4-music/blob/main/RWKV-4-MIDI-560M-v1-20230717-ctx4096.pth). Details may be found [here](https://huggingface.co/BlinkDL/rwkv-4-music). The music generation code may be found [here](https://github.com/BlinkDL/ChatRWKV/tree/main/music). The MIDI Tokenizer may be found [here](https://github.com/briansemrau/MIDI-LLM-tokenizer).\n\nNot sure how to play MIDI files? I recommend using the open source [VLC Media Player](https://www.videolan.org/vlc/) with can play MIDI files using FluidSynth.")