Add upload_audio to utils file

app.py

@@ -4,27 +4,17 @@ os.system("python3 -m pip install -e .")
 
 import gradio as gr
 
-import note_seq
-
-import nest_asyncio
-nest_asyncio.apply()
-
 from inferencemodel import InferenceModel
+from utils import upload_audio
 
 SAMPLE_RATE = 16000
 SF2_PATH = 'SGM-v2.01-Sal-Guit-Bass-V1.3.sf2'
 
-def upload_audio(audio, sample_rate):
-  
-  return note_seq.audio_io.wav_data_to_samples_librosa(
-    audio, sample_rate=sample_rate)
-
 # Start inference model
 inference_model = InferenceModel('/home/user/app/checkpoints/mt3/', 'mt3')
 
 def inference(audio):
   with open(audio, 'rb') as fd:
-      print("acaasd", audio)
       contents = fd.read()
 
   audio = upload_audio(contents,sample_rate=16000)

inferencemodel.py

@@ -1,5 +1,4 @@
 import functools
-import os
 
 import numpy as np
 import tensorflow.compat.v2 as tf
@@ -19,7 +18,6 @@ from mt3 import preprocessors
 from mt3 import spectrograms
 from mt3 import vocabularies
 
-
 import nest_asyncio
 nest_asyncio.apply()
 

utils.py

@@ -0,0 +1,7 @@
+
+import note_seq
+
+def upload_audio(audio, sample_rate):
+  
+  return note_seq.audio_io.wav_data_to_samples_librosa(
+    audio, sample_rate=sample_rate)