Не работает вместе с ragas

[MLDovakin]

Пытаюсь провалидировать колонки датафрейма но выдает ошибку

import pandas as pd
import numpy as np
from langchain.chat_models.gigachat import GigaChat

import pandas as pd
from ragas.embeddings import HuggingfaceEmbeddings

hf_embeddings = HuggingfaceEmbeddings(model_name="e5-large")

df = pd.read_excel('/content/pds_valid_prompts.xlsx')

llm = GigaChat(user = 'user', password = 'password',model='GigaChat-Pro',profanity_check=False, verify_ssl_certs=False)

логи

Exception in thread Thread-11:
Traceback (most recent call last):
  File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
    self.run()
  File "/usr/local/lib/python3.10/dist-packages/ragas/executor.py", line 87, in run
    results = self.loop.run_until_complete(self._aresults())
  File "/usr/lib/python3.10/asyncio/base_events.py", line 625, in run_until_complete
    self._check_running()
  File "/usr/lib/python3.10/asyncio/base_events.py", line 584, in _check_running
    raise RuntimeError('This event loop is already running')
RuntimeError: This event loop is already running
/usr/lib/python3.10/threading.py:1018: RuntimeWarning: coroutine 'Runner._aresults' was never awaited
  self._invoke_excepthook(self)
RuntimeWarning: Enable tracemalloc to get the object allocation traceback
/usr/local/lib/python3.10/dist-packages/ragas/evaluation.py:235: RuntimeWarning: coroutine 'as_completed.<locals>.sema_coro' was never awaited
  results = executor.results()
RuntimeWarning: Enable tracemalloc to get the object allocation traceback
---------------------------------------------------------------------------
ExceptionInRunner                         Traceback (most recent call last)
[<ipython-input-2-a7d59fa2e4c4>](https://localhost:8080/#) in <cell line: 13>()
     11 
     12 dataset = Dataset.from_dict(data_samples)
---> 13 score = evaluate(dataset,llm=llm, embeddings = hf_embeddings, raise_exceptions=False, metrics=[answer_relevancy])
     14 score.to_pandas()

1 frames
[/usr/local/lib/python3.10/dist-packages/ragas/evaluation.py](https://localhost:8080/#) in evaluate(dataset, metrics, llm, embeddings, callbacks, in_ci, is_async, run_config, raise_exceptions, column_map)
    253             evaluation_rm.on_chain_error(e)
    254 
--> 255         raise e
    256     else:
    257         result = Result(

[/usr/local/lib/python3.10/dist-packages/ragas/evaluation.py](https://localhost:8080/#) in evaluate(dataset, metrics, llm, embeddings, callbacks, in_ci, is_async, run_config, raise_exceptions, column_map)
    235         results = executor.results()
    236         if results == []:
--> 237             raise ExceptionInRunner()
    238 
    239         # convert results to dataset_like

ExceptionInRunner: The runner thread which was running the jobs raised an exeception. Read the traceback above to debug it. You can also pass `raise_exceptions=False` incase you want to show only a warning message instead.