Update app.py

app.py

@@ -15,10 +15,7 @@ pipe = AudioLDMControlNetPipeline.from_pretrained("cvssp/audioldm-m-full", contr
 pipe = pipe.to(device)
 
 def predict(midi_file=None, prompt="", negative_prompt="", audio_length_in_s=5, controlnet_conditioning_scale=1, num_inference_steps=20, guess_mode=False):
-    if midi_file:
-        midi_file = midi_file.name
-    else:
-        midi_file = "test.mid"
+    midi_file = midi_file.name
     midi = PrettyMIDI(midi_file)
     audio = pipe(
         prompt,
@@ -35,9 +32,9 @@ demo = gr.Interface(fn=predict, inputs=[
     gr.File(file_types=[".mid"]), 
     "text",
     gr.Textbox(label="negative prompt"),
-    gr.Slider(0, 30, value=5, step=5, label="duration (seconds)"), 
+    gr.Slider(0, 30, value=10, step=5, label="duration (seconds)"), 
     gr.Slider(0.0, 1.0, value=1.0, step=0.1, label="conditioning scale"),
     gr.Slider(0, 50, value=20, step=0.1, label="inference steps"),
     gr.Checkbox(label="guess mode")
-], outputs="audio")
+], outputs="audio", examples=["test.mid", "piano"], cache_examples=True)
 demo.launch()