Update app.py

app.py

@@ -6,19 +6,34 @@ sys.path.append('.')
 import gradio as gr
 os.system('pip install -U torchtext==0.8.0')
 #os.system('python setup.py install --install-dir .')
+from scipy.io import wavfile
+
+# the timestamp to split at (in seconds)
+split_at_timestamp = 6
 
 os.system('./separate_scripts/download_checkpoints.sh')
 
 def inference(audio):
-    os.system("""python bytesep/inference.py --config_yaml=./scripts/4_train/musdb18/configs/vocals-accompaniment,resunet_subbandtime.yaml --checkpoint_path=./downloaded_checkpoints/resunet143_subbtandtime_vocals_8.8dB_350k_steps.pth --audio_path="""+audio.name+""" --output_path=sep_vocals.mp3""")
+    # read the file and get the sample rate and data
+    rate, data = wavfile.read(audio.name) 
+    
+    # get the frame to split at
+    split_at_frame = rate * split_at_timestamp
+    
+    # split
+    left_data, right_data = data[:split_at_frame-1], data[split_at_frame:]  # split
+    
+    # save the result
+    wavfile.write('foo_left.wav', rate, left_data)
+    os.system("""python bytesep/inference.py --config_yaml=./scripts/4_train/musdb18/configs/vocals-accompaniment,resunet_subbandtime.yaml --checkpoint_path=./downloaded_checkpoints/resunet143_subbtandtime_vocals_8.8dB_350k_steps.pth --audio_path=foo_left.wav --output_path=sep_vocals.mp3""")
     #os.system('./separate_scripts/separate_vocals.sh ' + audio.name + ' "sep_vocals.mp3"')
-    os.system("""python bytesep/inference.py --config_yaml=./scripts/4_train/musdb18/configs/accompaniment-vocals,resunet_subbandtime.yaml --checkpoint_path=./downloaded_checkpoints/resunet143_subbtandtime_accompaniment_16.4dB_350k_steps.pth --audio_path="""+audio.name+""" --output_path=sep_accompaniment.mp3""")
+    os.system("""python bytesep/inference.py --config_yaml=./scripts/4_train/musdb18/configs/accompaniment-vocals,resunet_subbandtime.yaml --checkpoint_path=./downloaded_checkpoints/resunet143_subbtandtime_accompaniment_16.4dB_350k_steps.pth --audio_path=foo_left.wav --output_path=sep_accompaniment.mp3""")
     #os.system('./separate_scripts/separate_accompaniment.sh ' + audio.name + ' "sep_accompaniment.mp3"')
     #os.system('python separate_scripts/separate.py --audio_path=' +audio.name+' --source_type="accompaniment"')
     #os.system('python separate_scripts/separate.py --audio_path=' +audio.name+' --source_type="vocals"')
     return 'sep_vocals.mp3', 'sep_accompaniment.mp3'
 title = "Music Source Separation"
-description = "Gradio demo for Music Source Separation. To use it, simply add your audio, or click one of the examples to load them. Please trim audio files to 10 seconds or less for faster inference time on cpu. Read more at the links below."
+description = "Gradio demo for Music Source Separation. To use it, simply add your audio, or click one of the examples to load them. Please trim audio files to 10 seconds or less for faster inference time on cpu. Currently supports .wav files. Read more at the links below."
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2109.05418'>Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation</a> | <a href='https://github.com/bytedance/music_source_separation'>Github Repo</a></p>"
 
 examples = [['example.wav']]