updated code for CPU use instead of cuda

app.py

@@ -4,8 +4,8 @@ from PIL import Image
 
 from transformers import AutoModel, AutoTokenizer
 tokenizer = AutoTokenizer.from_pretrained('ucaslcl/GOT-OCR2_0', trust_remote_code=True)
-model = AutoModel.from_pretrained('ucaslcl/GOT-OCR2_0', trust_remote_code=True, low_cpu_mem_usage=True, device_map='cuda', use_safetensors=True, pad_token_id=tokenizer.eos_token_id)
-model = model.eval().cuda()
+model = AutoModel.from_pretrained('ucaslcl/GOT-OCR2_0', trust_remote_code=True, low_cpu_mem_usage=True, use_safetensors=True, pad_token_id=tokenizer.eos_token_id)
+model = model.eval()
 
 def OCR(image):
     pil_image = Image.fromarray(image)