chatgpt_embeddings/gpt_3_query.py
administrator cc2bb88989 init
2023-03-31 18:23:38 +08:00

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Python

import openai
from gpt_2_create_question import decorate_query
from gpt_0_basic_info import api_key, csv_file_path
openai.api_key = api_key
def question(query):
response = openai.ChatCompletion.create(
model='gpt-3.5-turbo',
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": query}
],
max_tokens=100,
n=1,
temperature=0.5,
)
output_text = response.choices[0].message['content'].strip()
return output_text
if __name__ == '__main__':
query = '亁颐堂是做什么的'
new_query = decorate_query(query, api_key, filename=csv_file_path)
print(new_query)
print(question(new_query))