Fix example prompts (#3)

- Fix example prompts (ca9b1c2dfe8f8cb65cda9846f8c4aaa50b14fadf)


Co-authored-by: Luca Eyring <lucaeyring@users.noreply.huggingface.co>

app.py

@@ -277,7 +277,7 @@ def combined_function(gallery_state, loaded_model_setup, prompt, chosen_model, s
 title="# ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization"
 description = "Enter a prompt to generate an image using ReNO. The method enhances text-to-image generation by optimizing \
     the initial noise using reward models as detailed in the paper. The demo uses a lower learning rate (2.5) compared to the paper's default (5.0) \
-    for smoother trajectories - if you are looking for more dramatic changes, you can increase this value. You can also \
+    for smoother trajectories - if you are looking for more drastic changes, you can increase this value. You can also \
     adjust the reward weights to e.g. prioritize either prompt following (increase ImageReward) or aesthetic quality \
     (increase HPS/PickScore) based on your preferences.\n\nThe first time you load this demo, it will take a bit \
     to download and initialize the required model. Once loaded, each optimization run takes about 25-60 seconds."
@@ -344,10 +344,10 @@ with gr.Blocks(css=css, analytics_enabled=False) as demo:
                 gr.Examples(
                     examples = [
                         "A red dog and a green cat",
+                        "A toaster riding a bike",
                         "A blue scooter is parked near a curb in front of a green vintage car",
                         "A curious, orange fox and a fluffy, white rabbit, playing together in a lush, green meadow filled with yellow dandelions",
-                        "An orange chair to the right of a black airplane"
-                        "A toaster riding a bike",
+                        "An orange chair to the right of a black airplane",
                         "A brain riding a rocketship towards the moon",
                     ],
                     inputs = [prompt]