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ray-project--ray/doc/source/serve/doc_code/image_classifier_example.py
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2026-07-13 13:17:40 +08:00

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2.9 KiB
Python

# __serve_example_begin__
import requests
import starlette
from transformers import pipeline
from io import BytesIO
from PIL import Image
from ray import serve
from ray.serve.handle import DeploymentHandle
@serve.deployment
def downloader(image_url: str):
image_bytes = requests.get(image_url).content
image = Image.open(BytesIO(image_bytes)).convert("RGB")
return image
@serve.deployment
class ImageClassifier:
def __init__(self, downloader: DeploymentHandle):
self.downloader = downloader
self.model = pipeline(
"image-classification", model="google/vit-base-patch16-224"
)
async def classify(self, image_url: str) -> str:
image = await self.downloader.remote(image_url)
results = self.model(image)
return results[0]["label"]
async def __call__(self, req: starlette.requests.Request):
req = await req.json()
return await self.classify(req["image_url"])
app = ImageClassifier.bind(downloader.bind())
# __serve_example_end__
@serve.deployment
class ModifiedImageClassifier:
def __init__(self, downloader: DeploymentHandle):
self.downloader = downloader
self.model = pipeline(
"image-classification", model="google/vit-base-patch16-224"
)
async def classify(self, image_url: str) -> str:
image = await self.downloader.remote(image_url)
results = self.model(image)
return results[0]["label"]
# __serve_example_modified_begin__
async def __call__(self, req: starlette.requests.Request):
req = await req.json()
result = await self.classify(req["image_url"])
if req.get("should_translate") is True:
handle: DeploymentHandle = serve.get_app_handle("app2")
return await handle.translate.remote(result)
return result
# __serve_example_modified_end__
serve.run(app, name="app1", route_prefix="/classify")
# __request_begin__
bear_url = "https://cdn.britannica.com/41/156441-050-A4424AEC/Grizzly-bear-Jasper-National-Park-Canada-Alberta.jpg" # noqa
resp = requests.post("http://localhost:8000/classify", json={"image_url": bear_url})
print(resp.text)
# 'brown bear, bruin, Ursus arctos'
# __request_end__
assert resp.text == "brown bear, bruin, Ursus arctos"
from translator_example import app as translator_app # noqa
serve.run(
ModifiedImageClassifier.bind(downloader.bind()),
name="app1",
route_prefix="/classify",
)
serve.run(translator_app, name="app2")
# __second_request_begin__
bear_url = "https://cdn.britannica.com/41/156441-050-A4424AEC/Grizzly-bear-Jasper-National-Park-Canada-Alberta.jpg" # noqa
resp = requests.post(
"http://localhost:8000/classify",
json={"image_url": bear_url, "should_translate": True},
)
print(resp.text)
# 'Braunbär, Bruin, Ursus arctos'
# __second_request_end__
assert resp.text == "Braunbär, Bruin, Ursus arctos"