
"""simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re

from ..utils import cached_file


# docstyle-ignore
_a      :			str					=							'''
Human: <<task>>

Assistant: '''


_a      :			Tuple					=							'''huggingface-tools/default-prompts'''
_a      :			Any					=							{'''chat''': '''chat_prompt_template.txt''', '''run''': '''run_prompt_template.txt'''}
def 				a__   (   a   :				List[Any]       ,     a   :				Optional[Any]       ,     a   :				Dict="run"		):

  """simple docstring"""







  if prompt_or_repo_id is None:
    _snake_case     :						Optional[int]						=   DEFAULT_PROMPTS_REPO

  # prompt is considered a repo ID when it does not contain any kind of space
  if re.search("\\s"       ,     a		) is not None:
    return prompt_or_repo_id

  _snake_case     :						int						=   cached_file(
      a       ,     PROMPT_FILES[mode]       ,     repo_type="dataset"       ,     user_agent={"agent": agent_name}		)
  with open(a       ,     "r"       ,     encoding="utf-8"		) as f:
    return f.read()








"""simple docstring"""
from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
    if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
    from .pipeline_unclip import UnCLIPPipeline
    from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
    from .text_proj import UnCLIPTextProjModel

