make torch grt

app.py

@@ -1,7 +1,7 @@
 import os
 import json
 import gradio as gr
-import torch
+# import torch
 import spaces
 from gliner import GLiNER
 from gliner.multitask import GLiNERRelationExtractor
@@ -29,10 +29,10 @@ TYPE2RELS = {
 print("Loading NER+RE model...")
 model = GLiNER.from_pretrained(data_model_id, cache_dir=CACHE_DIR)
 relation_extractor = GLiNERRelationExtractor(model=model)
-if torch.cuda.is_available():
-    model.to("cuda")
-    relation_extractor.model.to("cuda")
-print("Models loaded.")
+# if torch.cuda.is_available():
+#     model.to("cuda")
+#     relation_extractor.model.to("cuda")
+# print("Models loaded.")
 
 # Inference pipeline
 def inference_pipeline(