Update app.py

app.py

@@ -11,11 +11,13 @@ torch.hub.download_url_to_file('https://raw.githubusercontent.com/vis-nlp/ChartQ
 model_name = "ahmed-masry/unichart-base-960"
 model = VisionEncoderDecoderModel.from_pretrained(model_name)
 processor = DonutProcessor.from_pretrained(model_name)
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-model.to(device)
 
 
+@spaces.GPU
 def predict(image, input_prompt):
+    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+    model.to(device)
+    
     input_prompt += " <s_answer>"
     decoder_input_ids = processor.tokenizer(input_prompt, add_special_tokens=False, return_tensors="pt").input_ids
     pixel_values = processor(image, return_tensors="pt").pixel_values