Update app.py

app.py

@@ -136,7 +136,7 @@ with gr.Blocks() as demo_vqascore_ranking:
     gr.Markdown("""
     # VQAScore Ranking
     This model ranks a gallery of images based on their similarity to a text prompt.
-    **Please retry if the model fails to load for the first time. Once the model is loaded to GPUs, the ranking process will be extremely fast.**
+    Please retry if the model fails to load on GPU for the first time. Once the model is loaded onto the GPU, the ranking process should be fast.
     """)
     
     with gr.Row():
@@ -152,9 +152,8 @@ with gr.Blocks() as demo_vqascore_ranking:
             example1_button.click(fn=lambda: load_example("clip-flant5-xxl", example_imgs, example_prompt0), inputs=[], outputs=[model_dropdown, gallery, prompt])
             example2_button.click(fn=lambda: load_example("clip-flant5-xxl", example_imgs, example_prompt1), inputs=[], outputs=[model_dropdown, gallery, prompt])
     
-    ranked_gallery = gr.Gallery(label="Ranked Images with Scores", elem_id="ranked-gallery", columns=4, allow_preview=True)
-
-    rank_button.click(fn=rank_images, inputs=[model_dropdown, gallery, prompt], outputs=ranked_gallery)
+            ranked_gallery = gr.Gallery(label="Ranked Images with Scores", elem_id="ranked-gallery", columns=4, allow_preview=True)
+            rank_button.click(fn=rank_images, inputs=[model_dropdown, gallery, prompt], outputs=ranked_gallery)
     
 # # Create the second demo
 # with gr.Blocks() as demo_vqascore_ranking: