Spaces:
Build error
Build error
omerXfaruq
commited on
Commit
•
4797320
1
Parent(s):
67075bc
Introduce SpaceBuilder Class
Browse files
app.py
CHANGED
@@ -11,105 +11,109 @@ from huggingface_hub import (
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""
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Returns the file that is going to be created in the new space as string.
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:param name_list: list of space names
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:return: file as a string
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"""
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return (
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f"import gradio as gr"
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f"\nname_list = {name_list} "
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f"\ninterfaces = [gr.Interface.load(name) for name in name_list]"
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f"\ngr.mix.Parallel(*interfaces).launch()"
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)
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def combine_several_space_inputs(names: str) -> str:
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"""
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Combines several space inputs and returns the file that is going to be created in the new space as string.
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:param names: space inputs
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:return: file as a string
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"""
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name_list = names.split("\n")
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interfaces = [gr.Interface.load(name) for name in name_list]
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if not control_input_and_output_types(interfaces):
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print("Spaces have different input or output types, could not combine them!")
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return ""
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else:
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return file_as_a_string(name_list)
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def control_input_and_output_types(interface_list: List["gr.Interface"]) -> bool:
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"""
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Controls whether if input and output types of the given interfaces are the same.
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:param interface_list: list of interfaces
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:return: True if all input and output types are the same
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"""
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first_input_types = [type(input) for input in interface_list[0].input_components]
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first_output_types = [
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type(output) for output in interface_list[0].output_components
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]
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for interface in interface_list:
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interface_input_types = [type(input) for input in interface.input_components]
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if not np.all(
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interface_input_types == first_input_types
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): # Vectorize the comparison and don't use double for loop
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return False
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interface_output_types = [
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type(output) for output in interface.output_components
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]
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if not np.all(interface_output_types == first_output_types):
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return False
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:param space_name:
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:return: True if the space_name is available
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"""
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try:
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repo_name = get_full_repo_name(model_id=space_name, token=hf_token)
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except Exception as ex:
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return False
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url = f"https://huggingface.co/spaces/{repo_name}"
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response = requests.get(url)
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return not response.status_code == 200
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def space_builder(spaces: str, hf_token: str, username: str, space_name: str, space_description: str) -> str:
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"""
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Creates a space with given inputs
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:param spaces:
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:param hf_token:
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:param username:
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:param space_name:
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:param space_description:
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:return:
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"""
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# return "Thank you for using the draft, it will be completed later"
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if spaces == "" or hf_token == "" or username == "" or space_name == "" or space_description == "":
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return "Please fill all the inputs"
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if check_space_name_availability(hf_token, space_name):
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return "The space name is available"
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else:
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return (
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f"
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"\
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"\
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)
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iface = gr.Interface(
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fn=
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inputs=[
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gr.inputs.Textbox(
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lines=4,
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@@ -119,8 +123,7 @@ iface = gr.Interface(
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f"\nspaces/Amrrs/gradio-sentiment-analyzer"
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),
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),
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gr.inputs.Textbox(lines=1, placeholder="
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gr.inputs.Textbox(lines=1, placeholder="Your username"),
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gr.inputs.Textbox(lines=1, placeholder="Name for the space"),
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gr.inputs.Textbox(lines=1, placeholder="Description for the space"),
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],
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)
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class SpaceBuilder:
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error_message = ""
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@classmethod
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def file_as_a_string(cls, name_list: List[str]) -> str:
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"""
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Returns the file that is going to be created in the new space as string.
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:param name_list: list of space names
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:return: file as a string
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"""
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return (
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f"import gradio as gr"
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f"\nname_list = {name_list} "
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f"\ninterfaces = [gr.Interface.load(name) for name in name_list]"
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f"\ngr.mix.Parallel(*interfaces).launch()"
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)
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@classmethod
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def combine_several_space_inputs(cls, names: str) -> str:
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"""
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Combines several space inputs and returns the file that is going to be created in the new space as string.
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+
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:param names: space inputs
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:return: file as a string
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"""
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name_list = names.split("\n")
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interfaces = [gr.Interface.load(name) for name in name_list]
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if not cls.control_input_and_output_types(interfaces):
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print("Spaces have different input or output types, could not combine them!")
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return ""
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else:
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return cls.file_as_a_string(name_list)
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@classmethod
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def control_input_and_output_types(cls, interface_list: List["gr.Interface"]) -> bool:
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"""
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Controls whether if input and output types of the given interfaces are the same.
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+
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+
:param interface_list: list of interfaces
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:return: True if all input and output types are the same
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+
"""
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+
first_input_types = [type(input) for input in interface_list[0].input_components]
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57 |
+
first_output_types = [
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+
type(output) for output in interface_list[0].output_components
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59 |
+
]
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+
for interface in interface_list:
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interface_input_types = [type(input) for input in interface.input_components]
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if not np.all(
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interface_input_types == first_input_types
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+
): # Vectorize the comparison and don't use double for loop
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return False
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+
interface_output_types = [
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type(output) for output in interface.output_components
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]
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if not np.all(interface_output_types == first_output_types):
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return False
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return True
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@classmethod
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def check_space_name_availability(cls, hf_token: str, space_name: str) -> bool:
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"""
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Check whether if the space_name is currently used.
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:param hf_token: hugging_face token
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:param space_name:
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:return: True if the space_name is available
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"""
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try:
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repo_name = get_full_repo_name(model_id=space_name, token=hf_token)
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except Exception as ex:
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cls.error_message = "You have given an incorrect HuggingFace token"
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return False
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url = f"https://huggingface.co/spaces/{repo_name}"
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response = requests.get(url)
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if response.status_code == 200:
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cls.error_message = "The the username/space_name is already used for the given token's user"
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return False
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else:
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return True
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@classmethod
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def build_space(cls, spaces: str, hf_token: str, space_name: str, space_description: str) -> str:
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"""
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Creates a space with given inputs
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:param spaces:
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:param hf_token:
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:param space_name:
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:param space_description:
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:return:
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"""
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if spaces == "" or hf_token == "" or space_name == "" or space_description == "":
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return "Please fill all the inputs"
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if cls.check_space_name_availability(hf_token, space_name):
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return "The space name is available"
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else:
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return cls.error_message
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iface = gr.Interface(
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fn=SpaceBuilder.build_space,
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inputs=[
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gr.inputs.Textbox(
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lines=4,
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f"\nspaces/Amrrs/gradio-sentiment-analyzer"
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),
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),
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gr.inputs.Textbox(lines=1, placeholder="HuggingFace Write Token"),
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gr.inputs.Textbox(lines=1, placeholder="Name for the space"),
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gr.inputs.Textbox(lines=1, placeholder="Description for the space"),
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],
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