app.py

import gradio as gr
import os
from git_commd import GitCommandWrapper
from typing import List, Optional
import logging

HF_TOKEN = os.environ["HF_TOKEN"] if "HF_TOKEN" in os.environ else ""
WiseModel_TOKEN = os.environ["WM_TOKEN"] if "WM_TOKEN" in os.environ else ""


def get_cache_dir():
    from random_word import RandomWords

    r = RandomWords()
    return r.get_random_word()


def check_disk():
    import os

    return os.system("df -h /")


def pull_from_wisemodel(
    token: str, url: str, repo_name: str, cache_dir, branch: Optional[str] = None
):

    print("pull_from_wisemodel start")
    print(cache_dir)
    os.makedirs(cache_dir, exist_ok=True)
    # os.system("cd "+cache_dir)
    gitCmd = GitCommandWrapper()
    isLfs = gitCmd.is_lfs_installed()
    if not isLfs:
        gitCmd.git_lfs_install()
    gitCmd.clone(cache_dir, token, url, repo_name, branch)
    print("pull_from_wisemodel end")
    return f"Pulled {branch} to temp folder {cache_dir}: {url}"


def push_to_wiseModel(
    token: str,
    url: str,
    repo_name: str,
    cache_dir: str,
    hf_repo_id: str,
    branch: Optional[str] = None,
):

    print("push_to_wiseModel start")

    gitCmd = GitCommandWrapper()
    gitCmd.clone(cache_dir, token, url, repo_name, branch)

    repo_dir = f"./{cache_dir}/{repo_name}"
    os.makedirs(repo_dir, exist_ok=True)
    source_dir = f"./{cache_dir}/hf/{hf_repo_id}"
    move_file(source_dir, repo_dir, excludes=[".git", ".gitattributes"])
    gitCmd.add(repo_dir, all_files=True)
    gitCmd.commit(repo_dir, message="commit from hf to wisemodel")
    gitCmd.push(repo_dir, token, url, branch, branch)
    print("push_to_wiseModel end")
    return f"Pushed {branch} to {url}"


def move_file(source: str, destination: str, excludes: list[str] = []):
    import shutil

    try:
        # move all files in the source directory to the destination directory
        # list all files in the source directory
        files = os.listdir(source)
        for file in files:
            if file in excludes:
                continue
            logging.info(f"Moving {file} to {destination}")
            # move each file to destination Directory
            shutil.move(f"{source}/{file}", destination)
    except Exception as e:
        logging.exception(e)
        return f"Error moving files from {source} to {destination}, {e.args[0]}"
    return "file moved"


def remove_file(cache_dir, repo_name):
    import os

    try:
        os.remove(f"{cache_dir}/{repo_name}")
    except:
        return ""
    return "README.md file removed"


def push_to_hf(cache_dir, WiseModel_repo_name, hf_repo_id):
    from huggingface_hub import HfApi

    if not HF_TOKEN:
        raise gr.Error("Please enter your HF_TOKEN")
    print("push_to_hf start")
    api = HfApi(token=HF_TOKEN)  # Token is not persisted on the machine.
    output = api.upload_folder(
        folder_path=f"{cache_dir}/{WiseModel_repo_name}",
        repo_id=hf_repo_id,
        repo_type="model",
    )
    print("push_to_hf end")
    return f"Pushed to {hf_repo_id}"


def pull_from_hf(cache_dir, hf_repo_id):
    from huggingface_hub import HfApi

    if not HF_TOKEN:
        raise gr.Error("Please enter your HF_TOKEN")
    print("pull_from_hf start")
    api = HfApi(token=HF_TOKEN)  # Token is not persisted on the machine.
    output = api.snapshot_download(
        repo_id=hf_repo_id, repo_type="model", local_dir=cache_dir + "/hf/" + hf_repo_id
    )
    print(f"pull_from_hf end, output: {output}")
    return f"Pulled from {hf_repo_id}"


def handle(wisemodel_link, hf_repo_id):
    cache_dir = get_cache_dir()
    wiseModel_repo_url = (
        wisemodel_link.replace(".git", "")
        .replace("git", "")
        .replace("clone", "")
        .replace(" ", "")
    )
    wiseModel_repo_info = (
        wisemodel_link.replace(".git", "")
        .replace("git", "")
        .replace("clone", "")
        .replace(" ", "")
        .split("/")
    )
    print(wiseModel_repo_info)
    wisemodel_repo_name = wiseModel_repo_info[-1]
    stages = [
        (check_disk, (), {}),
        # # Run all the sanity checks on README.md
        # (pull_from_wisemodel, (WiseModel_TOKEN,wiseModel_repo_url,wisemodel_repo_name, cache_dir,"main"), {}),
        # (remove_file, (wisemodel_repo_name, cache_dir), {}),
        # (check_disk, (), {}),
        # (push_to_hf, (cache_dir, wisemodel_repo_name, hf_repo_id), {}),
        # (check_disk, (), {}),
        (pull_from_hf, (cache_dir, hf_repo_id), {}),
        (remove_file, (hf_repo_id, cache_dir), {}),
        (check_disk, (), {}),
        (
            push_to_wiseModel,
            (
                WiseModel_TOKEN,
                wiseModel_repo_url,
                wisemodel_repo_name,
                cache_dir,
                hf_repo_id,
                "main",
            ),
            {},
        ),
        (check_disk, (), {}),
    ]

    results = []
    errors = []
    for func, args, kwargs in stages:
        try:
            results.append(str(func(*args, **kwargs)))
        except Exception as e:
            logging.exception(e)
            errors.append(str(e))
        if errors:
            break

    return "\n\n".join(results), "\n\n".join(errors)


with gr.Blocks() as demo:
    gr.Markdown(
        """


# HF-to-wisemodel/从Huggingface上拉取模型、数据集等到wisemodel

# 这是一个示例Space,实际使用请参考下面说明，先Duplicate一个私有的space

- 这个space可以把已经发布在Huggingface上的模型拉取到wisemodel上。
- This space uploads model from Huggingface to wisemodel.

- **请确认您是repo的拥有者或者有权限操作！**
- **Please make sure that you're the owner of the repo or have permission from the owner to do so!**


# 如何使用这个空间？
# How to use this Space?

- 点击右上角settings后面的“…”按钮，选择“Duplicate this Space”创建一个私有的space，同时输入wisemodel的token(必填)，以及Huggingface的token（必填），确保有相应repo写入的权限。
- Duplicate this Space and providing WiseModel token (mandatory) and your read/write HF token (mandatory).

- 在wiseModel上创建一个空的repo，这一步需要手动完成，Space不会为您创建一个空的repo。
- Create your target model repo on WiseModel. This step is not automated.

- 在刚刚自己创建的私有space里填写相应的信息，wisemodel的git clone链接，以及Huggingface的repo名称。
- In your own private Space, fill in information below.

- 点击submit按钮，然后可以通过logs按钮查看进度。
- Click submit then watch for output in container log for progress.

- Create README.md file (since the metadata is not compatible with HF)
    """
    )

    wisemodel_link = gr.Textbox(
        label="Copy the git download link from the model detail page of wisemodel（从wisemodel上获取该模型的完整git clone链接） "
    )
    hf_repo_id = gr.Textbox(
        label="Source HF Model Repo ID (case sensitive). \nPlease make sure that this model has already been created"
    )
    with gr.Row():
        button = gr.Button("Submit", variant="primary")
        clear = gr.Button("Clear")
    error = gr.Textbox(label="Error")
    output = gr.Textbox(label="Output")

    button.click(handle, [wisemodel_link, hf_repo_id], [output, error])

if __name__ == "__main__":
    demo.launch(debug=True)