image from url

app.py

@@ -5,7 +5,7 @@ from PIL import Image
 from io import BytesIO
 from transformers import DetrImageProcessor, DetrForObjectDetection
 import torch
-
+import requests
 
 app = FastAPI(title="Object Detection",
     docs_url="/", 
@@ -19,7 +19,10 @@ model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")
 
 @app.post('/image')
 def read_image(image_file: bytes = File(...)):
-    image = Image.open(BytesIO(image_file))
+    #image = Image.open(BytesIO(image_file))
+    url = "http://images.cocodataset.org/val2017/000000039769.jpg"
+    image = Image.open(requests.get(url, stream=True).raw)
+
     inputs = processor(images=image, return_tensors="pt")
     outputs = model(**inputs)
     target_sizes = torch.tensor([image.size[::-1]])