Update app.py

app.py

@@ -4,6 +4,7 @@ from optimum.intel import OVStableDiffusionPipeline
 model_id = "yujiepan/dreamshaper-8-lcm-openvino-w8a8"
 pipeline = OVStableDiffusionPipeline.from_pretrained(model_id, device='CPU')
 pipeline.sampler = "dpm++2s_a" 
+num_inference_steps = 28
 
 def infer(prompt, num_inference_steps):
     image = pipeline(
@@ -55,7 +56,7 @@ with gr.Blocks(css=css) as demo:
         gr.Examples(
             examples=examples,
             fn=infer,
-            inputs=[prompt, 28],
+            inputs=[prompt, num_inference_steps],
             outputs=[result]
         )