Update app.py

try adding default example

app.py

@@ -24,7 +24,7 @@ def wandb_report(url):
 
 control_img = 'myimage.jpg'
 
-examples = [["a yellow dog standing in grass", "lowres, two heads, bad muzzle, bad anatomy, missing ears, missing paws", "examples/example1.jpg"]]
+examples = [["a yellow dog standing in grass", "lowres, two heads, bad muzzle, bad anatomy, missing ears, missing paws", "example1.jpg"]]
 
 controlnet, controlnet_params = FlaxControlNetModel.from_pretrained(
     "JFoz/dog-cat-pose", dtype=jnp.bfloat16
@@ -63,6 +63,8 @@ def infer(prompts, negative_prompts, image):
     
     #output_images = pipe.numpy_to_pil(np.asarray(output.reshape((num_samples,) + output.shape[-3:])))
     del image
+    del prompt_ids
+    del neg_prompt_ids
     gc.collect()
     
     output=np.array(output, dtype=np.float32)
@@ -83,7 +85,7 @@ with gr.Blocks(css=".gradio-container {background-color: #45f10c};") as demo:
     with gr.Column():
       prompts  = gr.Textbox(label="Prompt", placeholder="animal standing, best quality, highres")
       negative_prompts  = gr.Textbox(label="Negative Prompt", value="lowres, two heads, bad muzzle, bad anatomy, missing ears, missing paws")
-      conditioning_image = gr.Image(label="Conditioning Image")
+      conditioning_image = gr.Image(label="Conditioning Image", value=default_example[0])
       run_btn = gr.Button("Run")
       #wandb = wandb_report(report_url)
     with gr.Column():