Update app.py

app.py

@@ -15,7 +15,7 @@ pipe = AudioLDMControlNetPipeline.from_pretrained("cvssp/audioldm-m-full", contr
 pipe = pipe.to(device)
 generator = torch.Generator(device)
 
-def predict(midi_file=None, prompt="", negative_prompt="", audio_length_in_s=5, seed=0, controlnet_conditioning_scale=1, num_inference_steps=20, guess_mode=False):
+def predict(midi_file=None, prompt="", negative_prompt="", audio_length_in_s=5, random_seed=0, controlnet_conditioning_scale=1, num_inference_steps=20, guess_mode=False):
     midi_file = midi_file.name
     midi = PrettyMIDI(midi_file)
     audio = pipe(