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import os
import logging
from openai import OpenAI
if __name__ == '__main__':
from llm.demo_prompt import demo_prompt
client = OpenAI(
# This is the default and can be omitted
api_key=os.environ.get("OPENAI_API_KEY"),
)
chat_completion = client.chat.completions.create(
messages=[
{
"role": "user",
"content": demo_prompt,
}
],
model="gpt-3.5-turbo-0125",
)
print(chat_completion.choices[0].message.content)
def openai_call(apikey,
model="gpt-3.5-turbo",
user_content="如何做西红柿炖牛腩？",
system_content=None):
client = OpenAI(
# This is the default and can be omitted
api_key=apikey,
)
if system_content is not None and len(system_content.strip()):
messages = [
{'role': 'system', 'content': system_content},
{'role': 'user', 'content': user_content}
]
else:
messages = [
{'role': 'user', 'content': user_content}
]
chat_completion = client.chat.completions.create(
messages=messages,
model=model,
)
logging.info("Openai model inference done.")
return chat_completion.choices[0].message.content |