Update app.py

app.py

@@ -12,13 +12,16 @@ def create_key(seed=0):
     return jax.random.PRNGKey(seed)
 
 def addp5sketch(url):
-   iframe = f'<iframe src ={url} style="border:none;height:525px;width:100%"/frame>'
+   iframe = f'<iframe src ={url} style="border:none;height:300px;width:100%"/frame>'
    return gr.HTML(iframe)
 
 def wandb_report(url):
     iframe = f'<iframe src ={url} style="border:none;height:1024px;width:100%"/frame>'
     return gr.HTML(iframe)
 
+title = 'Animal Pose Control Net'
+description = 'This is a demo of Animal Pose ControlNet, which is a model trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.'
+
 report_url = 'https://wandb.ai/john-fozard/dog-cat-pose/runs/kmwcvae5'
 sketch_url = 'https://editor.p5js.org/kfahn/full/Ntzq9HWhx'
 
@@ -67,29 +70,26 @@ def infer(prompts, negative_prompts, image):
     return output
 
 with gr.Blocks(theme='kfahn/AnimalPose') as demo:  
-  gr.Markdown(
-      """
-      # Animal Pose Control Net
-      ## This is a demo of Animal Pose ControlNet, which is a model trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
-      [Dataset](https://huggingface.co/datasets/JFoz/dog-poses-controlnet-dataset)  
-      [Diffusers model](https://huggingface.co/JFoz/dog-pose)  
-      [Github](https://github.com/fi4cr/animalpose)   
-      [Training Report](https://wandb.ai/john-fozard/AP10K-pose/runs/wn89ezaw)
-      """)
   with gr.Row():
     with gr.Column():
-      prompts  = gr.Textbox(label="Prompt", placeholder="yellow dog sitting on a lawn, best quality, highres")
+      prompts  = gr.Textbox(label="Prompt", placeholder="yellow dog standing on a lawn, best quality, highres")
       negative_prompts  = gr.Textbox(label="Negative Prompt", value="lowres, bad muzzle, bad anatomy, missing ears, missing paws")
       conditioning_image = gr.Image(label="Conditioning Image")
       run_btn = gr.Button("Run")
     with gr.Column():
       keypoint_tool = addp5sketch(sketch_url)
-      #keypoint_tool = gr.HTML(lines)
       output = gr.Image(
                 label="Result",
             )
+   gr.Markdown(
+      """
+      [Dataset](https://huggingface.co/datasets/JFoz/dog-poses-controlnet-dataset)  
+      [Diffusers model](https://huggingface.co/JFoz/dog-pose)  
+      [Github](https://github.com/fi4cr/animalpose)   
+      [Training Report](https://wandb.ai/john-fozard/dog-cat-pose/runs/kmwcvae5)
+      """)     
           
-  run_btn.click(fn=infer, inputs = [prompts, negative_prompts, conditioning_image], outputs = output)
+  run_btn.click(fn=infer, title = title, description = description, inputs = [prompts, negative_prompts, conditioning_image], outputs = output)
     
 #gr.Interface(fn=infer, inputs = ["text", "text", "image"], outputs = output,
             #examples=[["a Labrador crossing the road", "low quality", "myimage.jpg"]])