Update app.py

app.py

@@ -9,9 +9,9 @@ from t2v_metrics import VQAScore, list_all_vqascore_models
 print(list_all_vqascore_models())
 
 # Initialize the model only once
-if torch.cuda.is_available():
-    model_pipe = VQAScore(model="clip-flant5-xl")  # our recommended scoring model
-    print("Model initialized!")
+# if torch.cuda.is_available(): 
+model_pipe = VQAScore(model="clip-flant5-xl")  # our recommended scoring model
+print("Model initialized!")
 
 @spaces.GPU
 def generate(model_name, image, text):