first try

app.py

@@ -191,7 +191,5 @@ iface = gr.Interface(fn=sample,
                      outputs=gr.outputs.Image(type="pil", label="model input + completions"),
                      title=title,
                      description=description,
-                     article=article,
-                     examples=examples,
                      enable_queue=True)
 iface.launch(debug=True)

app.py~

@@ -184,7 +184,7 @@ def to_base64(pil_image):
     return base64.b64encode(buffered.getvalue())
 
 title = "glide test"
-description = "text conditioned image generation demo using openai's GLIDE model (text-guided diffusion model) https://arxiv.org/abs/2112.10741 & https://github.com/openai/glide-text2im/. Credit to valhalla for gradio template https://huggingface.co/spaces/valhalla/."
+description = "text conditioned image generation demo using openai's GLIDE model (text-guided diffusion model) https://arxiv.org/abs/2112.10741 & https://github.com/openai/glide-text2im/. should take ~500s to run. credit to valhalla for gradio template https://huggingface.co/spaces/valhalla/."
 
 iface = gr.Interface(fn=sample, 
                      inputs=gr.inputs.Textbox(label='enter text'),