Update app.py

app.py

@@ -81,7 +81,7 @@ with gr.Blocks(css=".gradio-container {background-color: #b0cda8};") as demo:
       <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>
       <h3 style="text-align: left;"> The model was generated as part of the Hugging Face Jax Diffusers sprint.  Thank you to both Hugging Face and Google Cloud who provided the TPUs for training!
-      <h3 style="text-align: left;"> The dataset was build using the OpenPifPaf Animalpose plugin.</h3>
+      <h3 style="text-align: left;"> The dataset was built using the OpenPifPaf Animalpose plugin.</h3>
       </h3>
       """) 
   with gr.Row():