importtimeimportjsonimportasynciofromtypingimportList,OptionalimportuvicornfromopenaiimportOpenAIfromfastapiimportFastAPIfrompydanticimportBaseModelfromstarlette.responsesimportStreamingResponse app = FastAPI(title="OpenAI-compatible API")classChatMessage(BaseModel): role:strcontent:strclassChatCompletionRequest(BaseModel...
import random from fastapi import FastAPI, Request from faker import Faker from io import BytesIO from PIL import Image fromfastapi.responses import StreamingResponse from datetime import datetime, timedelta from fastapi_utils.tasks import repeat_every import time import asyncio import httpx from fastapi...
from fastapi import FastAPI, HTTPException from fastapi.middleware.cors import CORSMiddleware from contextlib import asynccontextmanager from starlette.responses import StreamingResponse from typing import Any, Dict, List, Literal, Optional, Union from transformers import AutoTokenizer, AutoModel from sse_st...
话不多说,我们直接上Proxy: importosimporttimeimportjsonimportuvicornimportloggingimportasynciofromtypingimportList,OptionalfrompydanticimportBaseModelfromdotenvimportload_dotenvfromfastapiimportFastAPIfromstarlette.responsesimportStreamingResponsefromvolcengine.maasimportMaasService,MaasException,ChatRoleclassChatMessage(Base...
Just tried the new raw response streaming API in the SDK (#1072) with fastAPI. This always results in httpx.StreamClosed: Attempted to read or stream content, but the stream has been closed.unless you read from the response directly without iterating (response.read()). ...
Still running into errors attempting to stream the audio with FastAPI client = OpenAI() response = client.audio.speech.create( model="tts-1", voice="alloy", input=request.text, ) async def generate(): for chunk in response.iter_content(chunk_size=4096): ...
app=FastAPI() @app.post("/chat", response_class=StreamingResponse) asyncdefcreate_item(request: Request): globalmodel, tokenizer json_post_raw=await request.json() json_post=json.dumps(json_post_raw) json_post_list=json.loads(json_post) ...
若要开始业务流程,Web 应用将调用使用FastAPI@app.post修饰器定义的 API 终结点article。 终结点接受对象 Task 作为输入。 该 Task 类封装了研究、产品和作业结果。 类 Task 在. 中 src\api\orchestrator.py定义。Python 复制 class Task(BaseModel): research: str products: str assignment: str 以下代码片段...
openai-style-api是一个工具,它能够屏蔽不同大型模型API之间的差异,并将这些API转换为openai API标准格式。通过使用这个工具,用户可以更加方便地调用不同的大型模型API服务提供商,如openai、claude、azure openai、gemini、智谱AI、讯飞星火API等。这个工具的使用能够简化开发流程,降低开发者的学习成本和使用门槛,从而更好...
app = FastAPI(lifespan=lifespan) app.add_middleware( CORSMiddleware, allow_origins=['*'], allow_credentials=True, allow_methods=['*'], allow_headers=['*'], ) class ModelCard(BaseModel): id: str object: str = 'model' created: int = Field(default_factory=lambda: int...