app.py

from typing import List

import numpy as np
import requests
import gradio as gr

from huggingface_hub import (
    create_repo,
    get_full_repo_name,
    upload_file,
)


class SpaceBuilder:
    error_message = None
    url = None

    @classmethod
    def split_space_names(cls, names: str) -> List[str]:
        """
        Splits and filters the given space_names.

        :param names: names
        :return: Name List
        """
        name_list = names.split("\n")
        filtered_list = []
        for name in name_list:
            if not (name == "" or name.isspace()):
                filtered_list.append(name)
        return filtered_list

    @classmethod
    def file_as_a_string(cls, name_list: List[str]) -> str:
        """
        Returns the file that is going to be created in the new space as string.

        :param name_list: list of space names
        :return: file as a string
        """
        return (
            f"import gradio as gr"
            f"\nname_list = {name_list} "
            f"\ninterfaces = [gr.Interface.load(name) for name in name_list]"
            f"\ngr.mix.Parallel(*interfaces).launch()"
        )

    @classmethod
    def create_space(cls, names: str, space_name: str, hf_token: str) -> bool:
        """
        Creates the space.

        :param name_list: Input space name_list
        :param space_name: Target space_name
        :param hf_token: HuggingFace Write Token
        :return: True if success
        """
        name_list = cls.split_space_names(names)
        create_repo(name=space_name, token=hf_token, repo_type="space", space_sdk="gradio")
        repo = get_full_repo_name(model_id=space_name, token=hf_token)

        try:
            file_string = cls.file_as_a_string(name_list)
            temp_file = open("temp_file.txt", "w")
            temp_file.write(file_string)
            temp_file.close()
        except Exception as ex:
            print(ex)
            cls.error_message = "An exception occurred during temporary file writing"
            return False

        try:
            cls.url = upload_file(
                path_or_fileobj="temp_file.txt",
                path_in_repo="app.py",
                repo_id=repo,
                repo_type="space",
                token=hf_token,
            )
            return True
        except Exception as ex:
            print(ex)
            cls.error_message = "An exception occurred during writing app.py to the target space"
            return False

    @classmethod
    def load_and_check_spaces(cls, names: str) -> bool:
        """
        Loads given space inputs as interfaces and checks whether if they are loadable.

        :param names: Input space names
        :return: True check is successful
        """
        name_list = cls.split_space_names(names)
        try:
            interfaces = [gr.Interface.load(name) for name in name_list]
        except Exception as ex:
            print(ex)
            cls.error_message = "One of the given models cannot be loaded to gradio, sorry for the inconvenience"
            return False
        if not cls.control_input_and_output_types(interfaces):
            cls.error_message = "Spaces have different input or output types, could not combine them!"
            return False
        else:
            return True

    @classmethod
    def control_input_and_output_types(cls, interface_list: List["gr.Interface"]) -> bool:
        """
        Controls whether if input and output types of the given interfaces are the same.

        :param interface_list: list of interfaces
        :return: True if all input and output types are the same
        """
        first_input_types = [type(input) for input in interface_list[0].input_components]
        first_output_types = [
            type(output) for output in interface_list[0].output_components
        ]
        for interface in interface_list:
            interface_input_types = [type(input) for input in interface.input_components]
            if not np.all(
                interface_input_types == first_input_types
            ):  # Vectorize the comparison and don't use double for loop
                cls.error_message = "Given spaces's input types are different"
                return False
            interface_output_types = [
                type(output) for output in interface.output_components
            ]
            if not np.all(interface_output_types == first_output_types):
                cls.error_message = "Given spaces's input types are different"
                return False

        return True

    @classmethod
    def check_space_name_availability(cls, hf_token: str, space_name: str) -> bool:
        """
        Check whether if the space_name is currently used.

        :param hf_token: hugging_face token
        :param space_name:
        :return: True if the space_name is available
        """
        try:
            repo_name = get_full_repo_name(model_id=space_name, token=hf_token)
        except Exception as ex:
            print(ex)
            cls.error_message = "You have given an incorrect HuggingFace token"
            return False
        try:
            url = f"https://huggingface.co/spaces/{repo_name}"
            response = requests.get(url)
            if response.status_code == 200:
                cls.error_message = "The the username/space_name is already used for the given token's user"
                return False
            else:
                return True
        except Exception as ex:
            cls.error_message = "Can not send a request to https://huggingface.co"
            return False

    @staticmethod
    def build_space(space_names: str, hf_token: str, target_space_name: str, space_description: str) -> str:
        """
        Creates a space with given inputs
        :param space_names:
        :param hf_token:
        :param target_space_name:
        :param space_description:
        :return:
        """
        if space_names == "" or hf_token == "" or target_space_name == "" or space_description == "":
            return "Please fill all the inputs"
        if SpaceBuilder.check_space_name_availability(hf_token=hf_token, space_name=target_space_name):
            print("The space name is available")
            if SpaceBuilder.load_and_check_spaces(names=space_names):
                print("Loaded and checked input spaces")
                if SpaceBuilder.create_space(names=space_names, space_name=target_space_name, hf_token=hf_token):
                    return SpaceBuilder.url
                else:
                    return SpaceBuilder.error_message
            else:
                return SpaceBuilder.error_message
        else:
            return SpaceBuilder.error_message


iface = gr.Interface(
    fn=SpaceBuilder.build_space,
    inputs=[
        gr.inputs.Textbox(
            lines=4,
            placeholder=(
                f"Drop space links at each line, ie:"
                f"\nspaces/Norod78/ComicsHeroHD"
                f"\nspaces/Amrrs/gradio-sentiment-analyzer"
            ),
        ),
        gr.inputs.Textbox(lines=1, placeholder="HuggingFace Write Token"),
        gr.inputs.Textbox(lines=1, placeholder="Name for the space"),
        gr.inputs.Textbox(lines=1, placeholder="Description for the space"),
    ],
    outputs="text",
)
iface.launch()