Update app.py

app.py

@@ -30,10 +30,9 @@ else:
 def gpt2_summarize(input_text, tokenizer, model, length):
     text=tokenizer.encode_plus(f'<bos> {input_text} <sep>', truncation=True, max_length=1024).input_ids
     text_length=len(text)
-    text = torch.tensor(text, dtype=torch.long, device=device)
+    text = torch.tensor(text, dtype=torch.long)
     text = text.unsqueeze(0)
     generated = text
-    model = model.to(device)
     with torch.no_grad():
         for _ in range(length):
             inputs = {'input_ids': generated}