verify ZeroGPU hardware detection in dummy app

Add GPU name and VRAM reporting to verify runtime detection works.

Co-authored-by: Cursor <cursoragent@cursor.com>

app.py

@@ -3,12 +3,20 @@ import spaces
 import torch
 
 zero = torch.Tensor([0]).cuda()
-print(zero.device) # <-- 'cpu' 🤔
+print(zero.device)  # <-- 'cpu' on ZeroGPU init
 
 @spaces.GPU
 def greet(n):
-    print(zero.device) # <-- 'cuda:0' 🤗
-    return f"Hello {zero + n} Tensor"
+    print(zero.device)  # <-- 'cuda:0' when GPU allocated
+    gpu_name = torch.cuda.get_device_name(0)
+    vram = torch.cuda.get_device_properties(0).total_mem / (1024**3)
+    return f"Hello {zero + n} Tensor | GPU: {gpu_name} | VRAM: {vram:.1f} GB"
 
-demo = gr.Interface(fn=greet, inputs=gr.Number(), outputs=gr.Text())
+demo = gr.Interface(
+    fn=greet,
+    inputs=gr.Number(label="Input Number"),
+    outputs=gr.Text(label="Result"),
+    title="Prefix Cache Analyzer (Setup Verification)",
+    description="Verifying ZeroGPU allocation and hardware detection.",
+)
 demo.launch()