Update ui/gpu.py

ui/gpu.py

@@ -36,9 +36,9 @@ GPU_DEVICE = "cuda" if ON_ZEROGPU else "cpu"
 # itself. A long paper on a cold cache is the worst case.
 _VECTORIZE_SECONDS = 120
 
-
 @spaces.GPU(duration=_VECTORIZE_SECONDS)
-print(f"[GPU FN] pid={os.getpid()}, in ZeroGPU ctx: {os.environ.get('SPACES_ZERO_GPU')}")
+zero_gpu_flag = os.environ.get("SPACES_ZERO_GPU")
+print("[GPU FN] pid=" + str(os.getpid()) + ", in ZeroGPU ctx: " + str(zero_gpu_flag))
 def vectorize_on_gpu(pdf_path: str) -> None:
     """Build and persist this paper's vectorstore with the embedder on GPU.