File "/home/user/ElasticDocs_GPT/lib/python3.8/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 552, in _run_script
    exec(code, module.__dict__)
  File "/home/user/ElasticDocs_GPT/elasticdocs_gpt.py", line 110, in <module>
    resp, url = search(query)
  File "/home/user/ElasticDocs_GPT/elasticdocs_gpt.py", line 77, in search
    body = resp['hits']['hits'][0]['fields']['body_content'][0]

>>> m = MlClient.get_trained_models(es, model_id=es_model_id)
>>> m.body
{'count': 1, 'trained_model_configs': [{'model_id': 'sentence-transformers__all-distilroberta-v1', 'model_type': 'pytorch', 'created_by': 'api_user', 'version': '8.8.0', 'create_time': 1686169940288, 'model_size_bytes': 0, 'estimated_operations': 0, 'license_level': 'platinum', 'description': "Model sentence-transformers/all-distilroberta-v1 for task type 'text_embedding'", 'tags': [], 'input': {'field_names': ['text_field']}, 'inference_config': {'text_embedding': {'vocabulary': {'index': '.ml-inference-native-000001'}, 'tokenization': {'roberta': {'do_lower_case': False, 'with_special_tokens': True, 'max_sequence_length': 512, 'truncate': 'first', 'span': -1, 'add_prefix_space': False}}}}, 'location': {'index': {'name': '.ml-inference-native-000001'}}}]}
>>> s = MlClient.start_trained_model_deployment(es, model_id=es_model_id)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/macbook-air-665/Library/Python/3.8/lib/python/site-packages/elasticsearch/_sync/client/utils.py", line 414, in wrapped
    return api(*args, **kwargs)
  File "/Users/macbook-air-665/Library/Python/3.8/lib/python/site-packages/elasticsearch/_sync/client/ml.py", line 3792, in start_trained_model_deployment
    return self.perform_request(  # type: ignore[return-value]
  File "/Users/macbook-air-665/Library/Python/3.8/lib/python/site-packages/elasticsearch/_sync/client/_base.py", line 320, in perform_request
    raise HTTP_EXCEPTIONS.get(meta.status, ApiError)(
elasticsearch.BadRequestError: BadRequestError(400, 'status_exception', 'Model definition truncated. Unable to deserialize trained model definition [sentence-transformers__all-distilroberta-v1]')
>>> 

 line 321, in perform_request
    raise HTTP_EXCEPTIONS.get(meta.status, ApiError)(
elasticsearch.ConflictError: ConflictError(409, 'status_exception', 'Trained model deployment [sentence-transformers__all-distilroberta-v1] is not allocated to any nodes')

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchaudio 2.1.0+cu118 requires torch==2.1.0, but you have torch 1.11.0 which is incompatible.
torchdata 0.7.0 requires torch==2.1.0, but you have torch 1.11.0 which is incompatible.
torchtext 0.16.0 requires torch==2.1.0, but you have torch 1.11.0 which is incompatible.

# Crear una instancia de Elasticsearch
es = Elasticsearch(url, http_auth=(user, passwd),
    verify_certs=False)

# Realizar alguna operación en el clúster, por ejemplo, obtener información de clúster
cluster_info = es.cluster.health()

# Retornar la conexión establecida
return es

BadRequestError(400, 'x_content_parse_exception', '[1:22] unknown field [text_embedding]')