Update app.py

app.py

@@ -72,11 +72,11 @@ def infer(prompts, negative_prompts, image):
     output=np.array(output, dtype=np.float32)
     return output
 
-with gr.Blocks(css=".gradio-container {background-color: #b0cda8};") as demo:  
+with gr.Blocks(css=".gradio-container {background-color: #f8d0ab};") as demo:  
   gr.Markdown(
       """
       <h1 style="text-align: center;">
-      🐕 Animal Pose Control Net 🐈
+      🐕‍🦺 Animal Pose Control Net 🐈‍⬛
       </h1>
       <h3 style="text-align: left;"> This is a demo of Animal Pose ControlNet, which is a model trained on runwayml/stable-diffusion-v1-5 with a new type of conditioning.</h3>  
       <h3 style="text-align: left;"> While this is definitely a work in progress, you can still try it out by using the p5 sketch to create a keypoint image and using it as the conditioning image.</h3>