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 = ""

    @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 combine_several_space_inputs(cls, names: str) -> str:
        """
        Combines several space inputs and returns the file that is going to be created in the new space as string.

        :param names: space inputs
        :return: file as a string
        """
        name_list = names.split("\n")
        interfaces = [gr.Interface.load(name) for name in name_list]
        if not cls.control_input_and_output_types(interfaces):
            print("Spaces have different input or output types, could not combine them!")
            return ""
        else:
            return cls.file_as_a_string(name_list)

    @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
                return False
            interface_output_types = [
                type(output) for output in interface.output_components
            ]
            if not np.all(interface_output_types == first_output_types):
                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:
            cls.error_message = "You have given an incorrect HuggingFace token"
            return False
        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

    @staticmethod
    def build_space(spaces: str, hf_token: str, space_name: str, space_description: str) -> str:
        """
        Creates a space with given inputs
        :param spaces:
        :param hf_token:
        :param space_name:
        :param space_description:
        :return:
        """
        if spaces == "" or hf_token == "" or space_name == "" or space_description == "":
            return "Please fill all the inputs"
        if SpaceBuilder.check_space_name_availability(hf_token, space_name):
            return "The space name is available"
        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()