Update app.py

app.py

@@ -9,7 +9,6 @@ from PIL import Image
 from torchmetrics.functional.image import structural_similarity_index_measure as ssim
 from transformers import CLIPModel, CLIPProcessor
 
-
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_path = "czl/stable-diffusion-v1-5"
 clip_model = CLIPModel.from_pretrained("openai/clip-vit-large-patch14").to(device)
@@ -32,7 +31,6 @@ else:
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
-
 @spaces.GPU
 def infer(
     input_image,
@@ -163,7 +161,7 @@ with gr.Blocks(title="Generative Date Augmentation Demo") as demo:
                     label="Prompt for the image to synthesize. (Actual class)",
                     show_label=True,
                     max_lines=1,
-                    placeholder="Enter Prompt for the image to synthesize. (Actual class)",
+                    placeholder="Enter actual class",
                     container=False,
                 )
             with gr.Row():
@@ -171,7 +169,7 @@ with gr.Blocks(title="Generative Date Augmentation Demo") as demo:
                     label="Prompt to augment against. (Confusing class)",
                     show_label=True,
                     max_lines=1,
-                    placeholder="Enter Prompt to augment against. (Confusing class)",
+                    placeholder="Enter confusing class",
                     container=False,
                 )
             with gr.Row():