Created
April 24, 2023 09:11
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Asynchronous Requests with asyncio
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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 rap song about asynchronous execution."}], | |
[{"role": "user", "content": "Write a classical 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") |
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