update gradio ui

app.py

@@ -77,7 +77,7 @@ title_with_logo = f'<img src="data:image/jpeg;base64,{logo_base64}" width="400"
 
 # Create Gradio interface
 interface = gr.Interface(
-    fn=lambda image, options, devices: process_image(image, options, devices, processor),
+    fn=lambda image, options: process_image(image, options, processor),
     inputs=[image_input,        
             gr.CheckboxGroup(
             label="Options",
@@ -89,6 +89,7 @@ interface = gr.Interface(
     description="""
     This code support image to text transformation. Then the generated text can do retrieval, question answering et al to conduct zero-shot.
     \n Semantic segment is very slow in cpu(~8m), best use on gpu or run local.
+    \n Notice the text2image model is controlnet, which used canny edge as reference.
     """
 )