[Admin maintenance] Support new ZeroGPU hardware

Thank you so much for having shared this Space with the community on this demo. We have upgraded the ZeroGPU infra-structure to run on modern blackwell architecture.
For that, we need to upgrade your demo to support that. This PR fixes your demo to work with the new architecture. As this is something we broke on our end, we may merge this PR autonomously. If this breaks unexpectedly or brings unintended consequences, feel free to revert, modify or otherwise. Any issues you can email apolinario@huggingface.co

app.py

@@ -1,9 +1,17 @@
+import huggingface_hub
+if not hasattr(huggingface_hub, "HfFolder"):
+    class HfFolder:
+        @staticmethod
+        def get_token():
+            return huggingface_hub.get_token()
+    huggingface_hub.HfFolder = HfFolder
+
+import spaces
 import gradio as gr
 import torch
 from PIL import Image
 from diffusers import DiffusionPipeline
 import os
-import spaces
 
 # Constants
 #SAFETY_CHECKER = os.environ.get("SAFETY_CHECKER", "0") == "1"
@@ -31,8 +39,6 @@ def generate_image(prompt, num_inference_steps=50, guidance_scale=7):
 
     return results.images[0]
 
-import gradio as gr
-
 # Gradio Interface
 description = """
 This demo utilizes the playgroundai/playground-v2.5-1024px-aesthetic by Playground, which is a text-to-image generative model capable of producing high-quality images.
@@ -64,4 +70,4 @@ with gr.Blocks() as demo:
         outputs=img,
     )
 
-demo.queue().launch()
+demo.queue().launch()