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import openai
import sys
import re
sys.path.append('.')
from local_config import openai_key
from utils.format.txt_2_list import txt_2_list
# Set up your API key
openai.api_key = openai_key
def text_classification(src_txt, type_arr, history=[]):
history_txt = ''.join([f'输入|```{q}```输出|{a}\n' for q, a in history])
user = f"你是一个聪明而且有百年经验的文本分类器. 你的任务是从一段文本里面提取出相应的分类结果签。你的回答必须用统一的格式。文本用```符号分割。分类类型保存在一个数组里{type_arr}\n{history_txt}输入|```{src_txt}```输出|"
# Call the OpenAI API
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "user", "content": f"{user}"},
]
)
# Extract the output and parse the JSON array
content = completion.choices[0].message.content
# Check out in type_arr
result = []
for type in type_arr:
if type in content:
result.append(type)
# 删去已经匹配的type
content = content.replace(type, '')
return result
if __name__ == '__main__':
# type_arr = ['好评', '差评']
# type_arr_txt = "是差评、不是差评"
type_arr_txt = "天气查询、股票查询、其他"
type_arr = txt_2_list(type_arr_txt)
txts = [
'这个商品真不错',
'用着不行',
'没用过这么好的东西',
# '今天天气怎么样',
]
history = [
['这个商品真不错', ['其他']],
]
for txt in txts:
result = text_classification(txt, type_arr, history)
print(txt, result)
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