Update app.py

app.py

@@ -14,7 +14,11 @@ controlnet = ControlNetModel.from_pretrained("lauraibnz/midi-audioldm", torch_dt
 pipe = AudioLDMControlNetPipeline.from_pretrained("cvssp/audioldm-m-full", controlnet=controlnet, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
-def predict(prompt, midi_file="test.mid", audio_length_in_s=10, num_inference_steps=20, controlnet_conditioning_scale=1.0):
+def predict(prompt, midi_file=None, audio_length_in_s=10, num_inference_steps=20, controlnet_conditioning_scale=1.0):
+ if midi_file:
+ midi_file = midi_file.name
+ else:
+ midi_file = "test.mid"
  midi = PrettyMIDI(midi_file)
  audio = pipe(prompt, midi=midi, audio_length_in_s=audio_length_in_s, num_inference_steps=num_inference_steps, controlnet_conditioning_scale=controlnet_conditioning_scale)
  return (16000, audio.audios.T)