# 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.
from typing import TYPE_CHECKING

import torch

from ..models.auto import AutoModelForVisualQuestionAnswering, AutoProcessor
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
  from PIL import Image




class 			__magic_name__	(		__a     ):





   """simple docstring"""




   lowerCAmelCase   :     Optional[Any]	      = '''dandelin/vilt-b32-finetuned-vqa'''
   lowerCAmelCase   :     Optional[Any]	      = (
       '''This is a tool that answers a question about an image. It takes an input named `image` which should be the '''
       '''image containing the information, as well as a `question` which should be the question in English. It '''
       '''returns a text that is the answer to the question.'''
   )
   lowerCAmelCase   :     List[str]	      = '''image_qa'''
   lowerCAmelCase   :     Dict	      = AutoProcessor
   lowerCAmelCase   :     Optional[Any]	      = AutoModelForVisualQuestionAnswering

   lowerCAmelCase   :     int	      = ['''image''', '''text''']
   lowerCAmelCase   :     Union[str, Any]	      = ['''text''']



   def __init__(						self       :	Any		,	*_lowercase       :	Dict		,	**_lowercase       :	Union[str, Any]				):



    """simple docstring"""



    requires_backends(self		,	['''vision''']				)
    super().__init__(*_lowercase		,	**_lowercase				)



   def 	lowerCAmelCase    (						self       :	List[Any]		,	_lowercase       :	"Image"		,	_lowercase       :	str				):



    """simple docstring"""



    return self.pre_processor(_lowercase		,	_lowercase		,	return_tensors='''pt'''				)



   def 	lowerCAmelCase    (						self       :	Optional[Any]		,	_lowercase       :	int				):



    """simple docstring"""



    with torch.no_grad():
     return self.model(**_lowercase				).logits



   def 	lowerCAmelCase    (						self       :	List[str]		,	_lowercase       :	Dict				):



    """simple docstring"""



    _UpperCamelCase:  Any    						=			outputs.argmax(-1				).item()
    return self.model.config.idalabel[idx]
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# 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.

# this script dumps information about the environment

import os
import platform
import sys


UpperCAmelCase_           =				'''3'''

print('''Python version:''', sys.version)

print('''OS platform:''', platform.platform())
print('''OS architecture:''', platform.machine())

try:
  import torch

  print('''Torch version:''', torch.__version__)
  print('''Cuda available:''', torch.cuda.is_available())
  print('''Cuda version:''', torch.version.cuda)
  print('''CuDNN version:''', torch.backends.cudnn.version())
  print('''Number of GPUs available:''', torch.cuda.device_count())
except ImportError:
  print('''Torch version:''', None)

try:
  import transformers

  print('''transformers version:''', transformers.__version__)
except ImportError:
  print('''transformers version:''', None)