AsyncOpenAI 是OpenAI Python库中的一个类,用于异步调用OpenAI的API。正确的导入方式应该保持类名的大小写一致。 以下是正确的导入和使用示例: python from openai import AsyncOpenAI # 创建AsyncOpenAI客户端实例 client = AsyncOpenAI(api_key="你的API密钥") # 异步调用OpenAI API async def call_openai_api()...
importosimportasynciofromopenaiimportAsyncOpenAIclient=AsyncOpenAI(api_key=os.environ.get("OPENAI_API_KEY"),)asyncdefmain()->None:chat_completion=awaitclient.chat.completions.create(messages=[{"role":"user","content":"Say this is a test",}],model="gpt-3.5-turbo",)asyncio.run(main()) 除了...
4 4 from openai import AsyncOpenAI 5 5 from bs4 import BeautifulSoup 6 6 7 + from image_generation.replicate import call_replicate 7 8 8 - async def process_tasks(prompts: List[str], api_key: str, base_url: str | None): 9 - tasks = [generate_image(prompt, api_key, bas...
from paperqa import Docs, LlamaEmbeddingModel from openai import AsyncOpenAI # start llamap.cpp client with local_client = AsyncOpenAI( base_url="http://localhost:8080/v1", api_key = "sk-no-key-required" ) docs = Docs(client=local_client, embedding_model=LlamaEmbeddingModel(), llm_model...
Demo import fs from "fs"; import OpenAI from "openai"; const openai = new OpenAI(); async function main() { const transcription =
import OpenAI from 'openai'; const openai = new OpenAI(); async function main() { const stream = await openai.chat.completions.create({ model: 'gpt-4', messages: [{ role: 'user', content: 'Say this is a test' }], stream: true, }); for await (const chunk of stream) { process...
asyncdefappend_input_audio(self,array_buffer):iflen(array_buffer)>0:ifself.custom_vad:foriinrange(0,len(array_buffer),1024):chunk=array_buffer[i:i+1024]chunk=np.frombuffer(chunk,dtype=np.int16)vad_output=self.vad_iterator(torch.from_numpy(int2float(chunk)))...
OpenAIClient.GenerateSpeechFromTextAsync Method Reference Feedback Definition Namespace: Azure.AI.OpenAI Assembly: Azure.AI.OpenAI.dll Package: Azure.AI.OpenAI v1.0.0-beta.16 Source: OpenAIClient.cs Important Some information relates to prerelease product that may be substantially modified ...
import nest_asyncio nest_asyncio.apply() # Move your use of qa_chain into an async function async def main(): result = qa_chain({“question”: user_input}) print (result) # Run your async function in the existing event loop loop = asyncio.get...
import OpenAI from "openai"; const openai = new OpenAI({ baseURL: "<ENDPOINT_URL>" + "/v1/", // replace with your endpoint url apiKey: "<HF_API_TOKEN>", // replace with your token }); async function main() { const stream = await openai.chat.completions.create({ model: "tgi...