initial code

app.py

@@ -22,6 +22,7 @@ import matplotlib.pyplot as plt
 import joblib
 import torch
 import gradio as gr
+import spaces
 
 warnings.filterwarnings("ignore")
 
@@ -132,6 +133,7 @@ def load_t5():
 
 
 # ── Feature extraction ────────────────────────────────────────────────────────
+@spaces.GPU
 def extract_t5_feature(sequence: str) -> np.ndarray:
     """
     Return mean-pooled ProtT5-XL embedding for a single sequence.

requirements.txt

@@ -1,4 +1,6 @@
-# torch/torchvision/torchaudio are installed by Dockerfile with CPU wheel
+# sdk: gradio spaces build from this file only (Dockerfile is not used)
+torch
+spaces
 transformers>=5.0.0
 sentencepiece          # ProtT5 tokenizer backend