mirror of
https://github.com/gradio-app/gradio.git
synced 2024-11-27 01:40:20 +08:00
0be1e51f4f
* wait for deploy to pypi * read correct version for main deploys * fixes * rework * use workflow dispatch * fix build-pr
106 lines
4.4 KiB
Python
106 lines
4.4 KiB
Python
from __future__ import annotations
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import argparse
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import json
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import os
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import pathlib
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import shutil
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import tempfile
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import textwrap
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import huggingface_hub
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ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
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DIR = os.path.dirname(__file__)
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GRADIO_DEMO_DIR = os.path.abspath(os.path.join(ROOT, "demo"))
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# Reasoning:
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# 1. all_demos includes all demos and is for testing PRs
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# 2. reset_components includes media files that are only present in all_demos (only for PRs)
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# 3. custom_path doesn't have .launch since the point is to show how to launch with uvicorn
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# 4. The same reason as 2 for kitchen_sink_random and blocks_kitchen_sink
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DEMOS_TO_SKIP = {"all_demos", "clear_components", "custom_path", "kitchen_sink_random", "blocks_kitchen_sink"}
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def upload_demo_to_space(
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demo_name: str,
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space_id: str,
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hf_token: str,
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gradio_version: str | None,
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gradio_wheel_url: str | None = None
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):
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"""Upload a demo in the demo directory to a huggingface space.
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Parameters:
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demo_name: The name of the demo to upload.
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space_id: The id of the space to upload the demo to.
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hf_token: HF api token. Need to have permission to write to space_id for this to work.
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gradio_version: If not None, will set the gradio version in the created Space to the given version.
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gradio_wheel_url: If not None, will install the version of gradio using the wheel url in the created Space.
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"""
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with tempfile.TemporaryDirectory() as tmpdir:
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demo_path = pathlib.Path(GRADIO_DEMO_DIR, demo_name)
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shutil.copytree(demo_path, tmpdir, dirs_exist_ok=True)
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readme = pathlib.Path(tmpdir, "README.md")
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readme_content = f"""
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---
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title: {space_id.split("/")[-1]}
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emoji: 🔥
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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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sdk_version: {gradio_version}
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app_file: run.py
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pinned: false
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hf_oauth: true
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---
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"""
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readme.open("w").write(textwrap.dedent(readme_content))
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if gradio_wheel_url:
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requirements_path = os.path.join(tmpdir, "requirements.txt")
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if not os.path.exists(requirements_path):
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with open(os.path.join(requirements_path), "w") as f:
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f.write(gradio_wheel_url)
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else:
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with open(os.path.join(requirements_path), "r") as f:
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content = f.read()
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with open(os.path.join(requirements_path), "w") as f:
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f.seek(0, 0)
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f.write(gradio_wheel_url + '\n' + content)
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api = huggingface_hub.HfApi()
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huggingface_hub.create_repo(
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space_id,
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space_sdk="gradio",
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repo_type="space",
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token=hf_token,
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exist_ok=True,
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)
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api.upload_folder(
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token=hf_token,
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repo_id=space_id,
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repo_type="space",
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folder_path=tmpdir,
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path_in_repo="",
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)
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return f"https://huggingface.co/spaces/{space_id}"
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demos = os.listdir(GRADIO_DEMO_DIR)
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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"))]
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--WHEEL_URL", type=str, help="aws link to gradio wheel")
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parser.add_argument("--AUTH_TOKEN", type=str, help="huggingface auth token")
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parser.add_argument("--GRADIO_VERSION", type=str, help="gradio version")
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args = parser.parse_args()
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gradio_wheel_url = args.WHEEL_URL + f"gradio-{args.GRADIO_VERSION}-py3-none-any.whl"
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if args.AUTH_TOKEN is not None:
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hello_world_version = str(huggingface_hub.space_info("gradio/hello_world").cardData["sdk_version"])
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for demo in demos:
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if hello_world_version != args.GRADIO_VERSION:
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upload_demo_to_space(demo_name=demo, space_id="gradio/" + demo, hf_token=args.AUTH_TOKEN, gradio_version=args.GRADIO_VERSION)
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upload_demo_to_space(demo_name=demo, space_id="gradio/" + demo + "_main", hf_token=args.AUTH_TOKEN, gradio_version=args.GRADIO_VERSION, gradio_wheel_url=gradio_wheel_url)
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