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| from typing import List | |
| from graphgen.models import Chunk, OpenAIModel | |
| from graphgen.templates import COREFERENCE_RESOLUTION_PROMPT | |
| from graphgen.utils import detect_main_language | |
| async def resolute_coreference( | |
| llm_client: OpenAIModel, chunks: List[Chunk] | |
| ) -> List[Chunk]: | |
| """ | |
| Resolute conference | |
| :param llm_client: LLM model | |
| :param chunks: List of chunks | |
| :return: List of chunks | |
| """ | |
| if len(chunks) == 0: | |
| return chunks | |
| results = [chunks[0]] | |
| for _, chunk in enumerate(chunks[1:]): | |
| language = detect_main_language(chunk.content) | |
| result = await llm_client.generate_answer( | |
| COREFERENCE_RESOLUTION_PROMPT[language].format( | |
| reference=results[0].content, input_sentence=chunk.content | |
| ) | |
| ) | |
| results.append(Chunk(id=chunk.id, content=result)) | |
| return results | |