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https://github.com/JasonYANG170/CodeGeeX4.git
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40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
from llama_index.core.response_synthesizers import BaseSynthesizer
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from models.codegeex import CodegeexChatModel
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from utils.prompts import CUSTOM_PROMPT_TEMPLATE
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class CodegeexSynthesizer(BaseSynthesizer):
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"""Response builder class."""
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def __init__(self, args) -> None:
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super().__init__(llm=CodegeexChatModel(args))
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self.prompt_template = CUSTOM_PROMPT_TEMPLATE
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def get_response(self, query_str: str, text_chunks: list[str], **kwargs) -> str:
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context = self.build_context(text_chunks)
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return self._llm.predict(self.prompt_template, query=query_str, context=context)
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async def aget_response(self, query_str: str, text_chunks: list[str], **kwargs) -> str:
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context = self.build_context(text_chunks)
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return await self._llm.apredict(self.prompt_template, query=query_str, context=context)
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def _get_prompts(self):
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"""Get prompts."""
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return {"text_qa_template": self.prompt_template}
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def _update_prompts(self, prompts) -> None:
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"""Update prompts."""
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if "text_qa_template" in prompts:
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self.prompt_template = prompts["text_qa_template"]
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@staticmethod
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def build_context(text_chunks):
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"""
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merge contexts
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:param text_chunks: recalled texts
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"""
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return "\n\n".join(
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[f"[[citation:{i + 1}]]\n```markdown\n{chunk}\n```" for i, chunk in enumerate(text_chunks)]
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)
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