upload_website_demos.py

from __future__ import annotations

import argparse
import os
import pathlib
import shutil
import tempfile
import textwrap
import requests

import huggingface_hub

ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
VERSION_TXT = os.path.abspath(os.path.join(ROOT, "gradio", "version.txt"))
DIR = os.path.dirname(__file__)
GRADIO_DEMO_DIR = os.path.abspath(os.path.join(ROOT, "demo"))

with open(VERSION_TXT) as f:
    gradio_version=f.read()
gradio_version = gradio_version.strip()

# Reasoning:
# 1. all_demos includes all demos and is for testing PRs
# 2. reset_components includes media files that are only present in all_demos (only for PRs)
# 3. custom_path doesn't have .launch since the point is to show how to launch with uvicorn
# 4. The same reason as 2 for kitchen_sink_random and blocks_kitchen_sink
DEMOS_TO_SKIP = {"all_demos", "clear_components", "custom_path", "kitchen_sink_random", "blocks_kitchen_sink"}


def upload_demo_to_space(
    demo_name: str, 
    space_id: str, 
    hf_token: str, 
    gradio_version: str | None, 
    gradio_wheel_url: str | None = None
):
    """Upload a demo in the demo directory to a huggingface space.
    Parameters:
        demo_name: The name of the demo to upload.
        space_id: The id of the space to upload the demo to.
        hf_token: HF api token. Need to have permission to write to space_id for this to work.
        gradio_version: If not None, will set the gradio version in the created Space to the given version.
        gradio_wheel_url: If not None, will install the version of gradio using the wheel url in the created Space.
    """

    with tempfile.TemporaryDirectory() as tmpdir:
        demo_path = pathlib.Path(GRADIO_DEMO_DIR, demo_name)
        shutil.copytree(demo_path, tmpdir, dirs_exist_ok=True)
        readme = pathlib.Path(tmpdir, "README.md")
        readme_content = f"""
                            ---
                            title: {space_id.split("/")[-1]} 
                            emoji: 🔥
                            colorFrom: indigo
                            colorTo: indigo
                            sdk: gradio
                            sdk_version: {gradio_version}
                            app_file: run.py
                            pinned: false
                            hf_oauth: true
                            ---
                            """
        readme.open("w").write(textwrap.dedent(readme_content))

        if gradio_wheel_url:
            requirements_path = os.path.join(tmpdir, "requirements.txt")
            if not os.path.exists(requirements_path):
                with open(os.path.join(requirements_path), "w") as f:
                    f.write(gradio_wheel_url)
            else:
                with open(os.path.join(requirements_path), "r") as f:
                    content = f.read()
                with open(os.path.join(requirements_path), "w") as f:
                    f.seek(0, 0)
                    f.write(gradio_wheel_url + '\n' + content)

        api = huggingface_hub.HfApi()
        huggingface_hub.create_repo(
            space_id,
            space_sdk="gradio",
            repo_type="space",
            token=hf_token,
            exist_ok=True,
        )
        api.upload_folder(
            token=hf_token,
            repo_id=space_id,
            repo_type="space",
            folder_path=tmpdir,
            path_in_repo="",
        )
    return f"https://huggingface.co/spaces/{space_id}"

demos = os.listdir(GRADIO_DEMO_DIR)

demos = [demo for demo in demos if demo not in DEMOS_TO_SKIP and os.path.isdir(os.path.join(GRADIO_DEMO_DIR, demo)) and  os.path.exists(os.path.join(GRADIO_DEMO_DIR, demo, "run.py"))]

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--WHEEL_URL", type=str, help="aws link to gradio wheel")
    parser.add_argument("--AUTH_TOKEN", type=str, help="huggingface auth token")
    args = parser.parse_args()
    gradio_wheel_url = args.WHEEL_URL + f"gradio-{gradio_version}-py3-none-any.whl"
    if args.AUTH_TOKEN is not None:
        hello_world_version = str(huggingface_hub.space_info("gradio/hello_world").cardData["sdk_version"])
        for demo in demos:
            if hello_world_version != gradio_version:
                upload_demo_to_space(demo_name=demo, space_id="gradio/" + demo, hf_token=args.AUTH_TOKEN, gradio_version=gradio_version)
            upload_demo_to_space(demo_name=demo, space_id="gradio/" + demo + "_main", hf_token=args.AUTH_TOKEN, gradio_version=gradio_version, gradio_wheel_url=gradio_wheel_url)