Update utils.py

utils.py

@@ -10,7 +10,7 @@ import tensorflow as tf
 from tensorflow.python.framework import random_seed
 import gradio as gr
 from scipy.io.wavfile import write as write_wav
-import soundfile as sf
+
 
 class Utils_functions:
     def __init__(self, args):
@@ -620,17 +620,13 @@ class Utils_functions:
             ),
             -2,
         )
-##encode a wav file using scipy
-        # wav, sr = librosa.load("test.wav", sr=self.args.sr)
-        filepath = "tmp/newwav.wav"
-        sf.write(filepath, np.int16(abwvc * 32767.0, self.args.sr)
-        
+
         return (
             np.clip(spec, -1.0, 1.0),
-            filepath,
+            (self.args.sr, np.int16(abwvc * 32767.0)),
         )
 
-        def render_gradio(self, models_ls_1, models_ls_2, models_ls_3, train=True):
+    def render_gradio(self, models_ls_1, models_ls_2, models_ls_3, train=True):
         article_text = "Original work by Marco Pasini ([Twitter](https://twitter.com/marco_ppasini)) at the Institute of Computational Perception, JKU Linz. Supervised by Jan Schlüter."
 
         def gradio_func(genre, x, y):
@@ -668,7 +664,7 @@ class Utils_functions:
             ],
             outputs=[
                 gr.Image(label="Log-MelSpectrogram of Generated Audio (first 23 s)"),
-                gr.Audio(type="filepath", label="Generated Audio"),
+                gr.Audio(type="numpy", label="Generated Audio"),
             ],
             title="musika!",
             description="Blazingly Fast 44.1 kHz Stereo Waveform Music Generation of Arbitrary Length. Be patient and enjoy the weirdness!",