wang.yuqiandCyrus Leung
eeb549a74d
Signed-off-by: wang.yuqi <yuqi.wang@daocloud.io> Signed-off-by: wang.yuqi <noooop@126.com> Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>
62 lines
1.9 KiB
Python
62 lines
1.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from http import HTTPStatus
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from typing import Annotated
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from fastapi import APIRouter, Form, Request
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from fastapi.responses import JSONResponse, StreamingResponse
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from vllm.entrypoints.serve.engine.protocol import ErrorResponse
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from vllm.entrypoints.serve.utils.api_utils import (
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load_aware_call,
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with_cancellation,
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)
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from vllm.entrypoints.speech_to_text.base.utils import read_upload_with_limit
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from vllm.logger import init_logger
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from .protocol import TranslationRequest, TranslationResponseVariant
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from .serving import OpenAIServingTranslation
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logger = init_logger(__name__)
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router = APIRouter()
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def translation(request: Request) -> OpenAIServingTranslation:
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return request.app.state.openai_serving_translation
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@router.post(
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"/v1/audio/translations",
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responses={
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HTTPStatus.OK.value: {"content": {"text/event-stream": {}}},
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HTTPStatus.BAD_REQUEST.value: {"model": ErrorResponse},
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HTTPStatus.UNPROCESSABLE_ENTITY.value: {"model": ErrorResponse},
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HTTPStatus.INTERNAL_SERVER_ERROR.value: {"model": ErrorResponse},
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},
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)
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@with_cancellation
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@load_aware_call
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async def create_translations(
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request: Annotated[TranslationRequest, Form()], raw_request: Request
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):
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handler = translation(raw_request)
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if handler is None:
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raise NotImplementedError("The model does not support Translations API")
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audio_data = await read_upload_with_limit(request.file)
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generator = await handler.create_translation(audio_data, request, raw_request)
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if isinstance(generator, ErrorResponse):
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return JSONResponse(
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content=generator.model_dump(), status_code=generator.error.code
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)
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elif isinstance(generator, TranslationResponseVariant):
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return JSONResponse(content=generator.model_dump())
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return StreamingResponse(content=generator, media_type="text/event-stream")
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