Update README.md

README.md

@@ -16,7 +16,7 @@ tags:
 This is a demo version of ImageQuality-R1 which is trained on the combination of KADID-10K, TID2013, and KONIQ-10K. The base model of ImageQuality-R1 is Qwen2.5-VL-7B-Instruct.
 
 ## Quick Start
-```
+```python
 from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer, AutoProcessor
 from qwen_vl_utils import process_vision_info
 
@@ -97,11 +97,11 @@ random.seed(42)
 device = torch.device("cuda:0") if torch.cuda.is_available() else torch.device("cpu")
 
 ### Modify here
-MODEL_PATH = ""
+model_path = ""
 image_path = ""
 
 reasoning, score = score_image(
-    model_path=MODEL_PATH,
+    model_path=model_path,
     image_path=image_path
 )