from __future__ import annotations import logging from llama_index import Prompt from typing import List, Tuple import mdtex2html from presets import * from llama_func import * def compact_text_chunks(self, prompt: Prompt, text_chunks: List[str]) -> List[str]: logging.debug("Compacting text chunks...🚀🚀🚀") combined_str = [c.strip() for c in text_chunks if c.strip()] combined_str = [f"[{index+1}] {c}" for index, c in enumerate(combined_str)] combined_str = "\n\n".join(combined_str) # resplit based on self.max_chunk_overlap text_splitter = self.get_text_splitter_given_prompt(prompt, 1, padding=1) return text_splitter.split_text(combined_str) def postprocess( self, y: List[Tuple[str | None, str | None]] ) -> List[Tuple[str | None, str | None]]: """ Parameters: y: List of tuples representing the message and response pairs. Each message and response should be a string, which may be in Markdown format. Returns: List of tuples representing the message and response. Each message and response will be a string of HTML. """ if y is None or y == []: return [] tag_regex = re.compile(r"^<\w+>[^<]+") if tag_regex.search(y[-1][1]): y[-1] = (y[-1][0].replace("\n", "
"), y[-1][1]) else: y[-1] = (y[-1][0].replace("\n", "
"), convert_mdtext(y[-1][1])) return y