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from typing import List, Tuple, Dict, Optional
import logging
from towhee.operator import PyOperator
logger = logging.getLogger()
gpt_prompt = """Use the following pieces of context to answer the question at the end.
If you don't know the answer, just say that you don't know, don't try to make up an answer.
{context}
Question: {question}
Helpful Answer:
"""
dolly_prompt = """{question}
Input:
{context}
"""
class QAPrompt(PyOperator):
def __init__(self, temp: str = None, llm_name: str = None):
super().__init__()
if temp:
self._template = temp
else:
if not llm_name:
self._template = gpt_prompt
elif llm_name.lower() == 'dolly':
self._template = dolly_prompt
elif llm_name.lower() == 'openai':
self._template = gpt_prompt
else:
logger.warning('Unkown llm_name, use default prompt')
self._template = gpt_prompt
def __call__(self, question: str, docs: List[str], history=Optional[List[Tuple]]) -> List[Dict[str, str]]:
"""
history:
List[Tuple]: [(question1, answer1), (question2, answer2)]
"""
context = '\n'.join(docs)
prompt_str = self._template.format(context=context, question=question)
ret = [{'question': prompt_str}]
if not isinstance(history, list):
return ret
else:
history_data = []
for item in history:
history_data.append({'question': item[0], 'answer': item[1]})
return history_data + ret