update default value

app.py

@@ -56,7 +56,7 @@ with demo:
     gr.Markdown("# PEZ Dispenser")
     gr.Markdown("## Hard Prompts Made Easy (PEZ)")
     gr.Markdown("*Want to generate a text prompt for your image that is useful for Stable Diffusion?*")
-    gr.Markdown("This space can either generate a text fragment that describes your image, or it can shorten an existing text prompt. This space is using OpenCLIP-ViT/H, the same text encoder used by Stable Diffusion V2. After you generate a prompt, try it out on Stable Diffusion [here](https://huggingface.co/stabilityai/stable-diffusion-2-1-base) or [here](https://huggingface.co/spaces/stabilityai/stable-diffusion). For a quick PEZ demo, try clicking on one of the examples at the bottom of this page.")
+    gr.Markdown("This space can either generate a text fragment that describes your image, or it can shorten an existing text prompt. This space is using OpenCLIP-ViT/H, the same text encoder used by Stable Diffusion V2. After you generate a prompt, try it out on Stable Diffusion [here](https://huggingface.co/stabilityai/stable-diffusion-2-1-base), [here](https://huggingface.co/spaces/stabilityai/stable-diffusion) or on [Midjourney](https://docs.midjourney.com/). For a quick PEZ demo, try clicking on one of the examples at the bottom of this page.")
     gr.Markdown("For additional details, you can check out the [paper](https://arxiv.org/abs/2302.03668) and the code on [Github](https://github.com/YuxinWenRick/hard-prompts-made-easy).")
     gr.Markdown("Note: Generation with 1000 steps takes ~60 seconds with a T4. Don't want to wait? You can also run on [Google Colab](https://colab.research.google.com/drive/1VSFps4siwASXDwhK_o29dKA9COvTnG8A?usp=sharing). Or, you can reduce the number of steps.")
 
@@ -70,8 +70,8 @@ with demo:
             input_prompt = gr.Textbox(label="Target Prompt")
             prompt_button = gr.Button("Distill Prompt")
 
-            prompt_len_field = gr.Number(label="Prompt Length (max 75, recommend 8-16)", default=8)
-            num_step_field = gr.Number(label="Optimization Steps (max 3000 because of limited resources)", default=1000)
+            prompt_len_field = gr.Number(label="Prompt Length (max 75, recommend 8-16)", value=8)
+            num_step_field = gr.Number(label="Optimization Steps (max 3000 because of limited resources)", value=1000)
 
         with gr.Column():
             gr.Markdown("### Learned Prompt")