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@neubig
Last active November 9, 2023 01:06
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What would you like to do?
A simple script to get results from the OpenAI Asynchronous API
# NOTE:
# You can find an updated, more robust and feature-rich implementation
# in Zeno Build
# - Zeno Build: https://github.com/zeno-ml/zeno-build/
# - Implementation: https://github.com/zeno-ml/zeno-build/blob/main/zeno_build/models/providers/openai_utils.py
import openai
import asyncio
from typing import Any
async def dispatch_openai_requests(
messages_list: list[list[dict[str,Any]]],
model: str,
temperature: float,
max_tokens: int,
top_p: float,
) -> list[str]:
"""Dispatches requests to OpenAI API asynchronously.
Args:
messages_list: List of messages to be sent to OpenAI ChatCompletion API.
model: OpenAI model to use.
temperature: Temperature to use for the model.
max_tokens: Maximum number of tokens to generate.
top_p: Top p to use for the model.
Returns:
List of responses from OpenAI API.
"""
async_responses = [
openai.ChatCompletion.acreate(
model=model,
messages=x,
temperature=temperature,
max_tokens=max_tokens,
top_p=top_p,
)
for x in messages_list
]
return await asyncio.gather(*async_responses)
predictions = asyncio.run(
dispatch_openai_requests(
messages_list=[
[{"role": "user", "content": "Write a poem about asynchronous execution."}],
[{"role": "user", "content": "Write a poem about asynchronous pirates."}],
],
model="gpt-3.5-turbo",
temperature=0.3,
max_tokens=200,
top_p=1.0,
)
)
for i, x in enumerate(predictions):
print(f"Response {i}: {x['choices'][0]['message']['content']}\n\n")
@neubig
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neubig commented Apr 21, 2023

This script can be used under the MIT license.

@Clement-Lelievre
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Clement-Lelievre commented May 11, 2023

thank you, this is a much more compact example compared to the openai-cookbook ones on the topic

@Oxi84
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Oxi84 commented Jun 21, 2023

Does not work, it says:

messages_list: list[list[dict[str,Any]]],
TypeError: 'type' object is not subscriptable

@Oxi84
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Oxi84 commented Jun 21, 2023

It works only when I use:

async def dispatch_openai_requests(messages_list,model,temperature,max_tokens,top_p):

instead of the full list if defined variables.

So @neubig thanks for the code.

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