c1

app.py

@@ -6,8 +6,7 @@ import torch
 import numpy as np
 import pretty_midi
 from io import BytesIO
-import soundfile as sf
-
+import os
 import requests
 
 # URL of the file to download
@@ -16,12 +15,12 @@ url = "https://raw.githubusercontent.com/urish/cinto/refs/heads/master/media/Flu
 # Local filename to save the file
 filename = "FluidR3_GM.sf2"
 
+if not os.path.exists(filename):
+    response = requests.get(url)
+    response.raise_for_status()
 
-response = requests.get(url)
-response.raise_for_status()
-
-with open(filename, "wb") as file:
-    file.write(response.content)
+    with open(filename, "wb") as file:
+        file.write(response.content)
 
 
 def score_to_audio(score, sample_rate: int = 44100) -> tuple[int, np.ndarray]:
@@ -48,8 +47,8 @@ def score_to_audio(score, sample_rate: int = 44100) -> tuple[int, np.ndarray]:
     # Convert to 16-bit integer PCM
     # Scale to full int16 range (-32768 to 32767)
     int_audio = (float_audio * 32767).astype(np.int16)
-
-    return sample_rate, float_audio
+    int_audio = np.trim_zeros(int_audio, "b")
+    return sample_rate, int_audio
 
 
 device = "cuda" if torch.cuda.is_available() else "cpu"