question-answer/qa_prompt.py

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