Update app.py

app.py

@@ -1,6 +1,7 @@
 import torch
 from PIL import Image
 import requests
+from io import BytesIO  # Importing BytesIO from the io module
 from transformers import Qwen2VLForConditionalGeneration, AutoProcessor
 from qwen_vl_utils import process_vision_info
 
@@ -19,7 +20,7 @@ processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-2B-Instruct")
 # Resize the image to a smaller resolution (e.g., 512x512)
 image_url = "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg"
 response = requests.get(image_url)
-img = Image.open(BytesIO(response.content))
+img = Image.open(BytesIO(response.content))  # Using BytesIO to handle image from the byte stream
 
 # Resize the image
 img_resized = img.resize((512, 512))  # Resize the image to 512x512