Update app.py

app.py

@@ -10,15 +10,14 @@ else:
     device = "cpu"
     torch_dtype = torch.float32
 
-midi = PrettyMIDI("test.mid")
-
 controlnet = ControlNetModel.from_pretrained("lauraibnz/midi-audioldm", torch_dtype=torch_dtype)
 pipe = AudioLDMControlNetPipeline.from_pretrained("cvssp/audioldm-m-full", controlnet=controlnet, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
-def predict(prompt, midi, audio_length_in_s=10, num_inference_steps=20, controlnet_conditioning_scale=1.0):
+def predict(prompt, midi_file="test.mid", audio_length_in_s=10, num_inference_steps=20, controlnet_conditioning_scale=1.0):
+    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 audio
 
-demo = gr.Interface(fn=predict, inputs="prompt", outputs="audio")
+demo = gr.Interface(fn=predict, inputs="text", outputs="audio")
 demo.launch()