mirror of
https://github.com/vale981/ray
synced 2025-03-12 06:06:39 -04:00
61 lines
1.1 KiB
Python
61 lines
1.1 KiB
Python
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# flake8: noqa
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# Stub functions for testing
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import ray
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ray.init()
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def stub(*args, **kwargs):
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pass
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ray.init = stub
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# __fastapi_start__
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# File name: serve_with_fastapi.py
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import ray
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from ray import serve
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from fastapi import FastAPI
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from transformers import pipeline
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app = FastAPI()
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@serve.deployment
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@serve.ingress(app)
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class Translator:
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def __init__(self):
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# Load model
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self.model = pipeline("translation_en_to_fr", model="t5-small")
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@app.get("/translate")
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def translate(self, text: str) -> str:
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# Run inference
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model_output = self.model(text)
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# Post-process output to return only the translation text
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translation = model_output[0]["translation_text"]
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return translation
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ray.init(address="auto")
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translator = Translator.bind()
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serve.run(translator)
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# __fastapi_end__
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# __fastapi_client_start__
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# File name: fastapi_client.py
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import requests
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response = requests.get("http://127.0.0.1:8000/translate?text=Hello world!").json()
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print(response)
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# __fastapi_client_end__
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assert response == "Bonjour monde!"
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serve.shutdown()
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ray.shutdown()
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