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| from pathlib import Path | |
| from tempfile import TemporaryDirectory | |
| import gradio as gr | |
| from huggingface_hub import CommitOperationAdd, HfApi | |
| from huggingface_hub.utils import RepositoryNotFoundError | |
| from convert import convert | |
| def run( | |
| token: str, model_id: str, precision: str, quantization: bool, destination: str | |
| ) -> str: | |
| if token == "" or model_id == "": | |
| return """ | |
| ### Invalid input 🐞 | |
| Please fill a token and model_id. | |
| """ | |
| if destination == "": | |
| destination = model_id | |
| api = HfApi(token=token) | |
| try: | |
| # TODO: make a PR to bloomz.cpp to be able to pass a token | |
| api.model_info( | |
| repo_id=model_id, token=False | |
| ) # only public repos are accessible | |
| except RepositoryNotFoundError: | |
| return f""" | |
| ### Error 😢😢😢 | |
| Repository {model_id} not found. Only public models are convertible at the moment. | |
| """ | |
| try: | |
| with TemporaryDirectory() as cache_folder: | |
| model_path = convert( | |
| cache_folder=Path(cache_folder), | |
| model_id=model_id, | |
| precision=precision, | |
| quantization=quantization, | |
| ) | |
| print("[model_path]", model_path) | |
| commit_info = api.create_commit( | |
| repo_id=destination, | |
| operations=[ | |
| CommitOperationAdd( | |
| path_or_fileobj=model_path, path_in_repo=model_path.name | |
| ) | |
| ], | |
| create_pr=True, | |
| commit_message=f"Add {model_path.name} from bloomz.cpp converter.", | |
| ) | |
| return f""" | |
| ### Success 🔥 | |
| Yay! This model was successfully converted and a PR was open using your token, here: | |
| # [{commit_info.pr_url}]({commit_info.pr_url}) | |
| """ | |
| except Exception as e: | |
| return f""" | |
| ### Error 😢😢😢 | |
| {e} | |
| """ | |
| DESCRIPTION = """ | |
| The steps are the following: | |
| - Paste your HF token. You can create one in your [settings page](https://huggingface.co/settings/tokens). | |
| - Input a model id from the Hub. This model must be public. | |
| - Choose which precision you want to use (default to FP16). | |
| - (optional) Opt-in for 4-bit quantization. | |
| - (optional) By default a PR to the initial repo will be created. You can choose a different destination repo if you want. The destination repo must exist. | |
| - Click Submit: | |
| That's it! You'll get feedback if it works or not, and if it worked, you'll get the URL of the opened PR 🔥 | |
| """ | |
| demo = gr.Interface( | |
| title="Convert any BLOOM-like model to be compatible with bloomz.cpp", | |
| description=DESCRIPTION, | |
| allow_flagging="never", | |
| article="Check out the [bloomz.cpp](https://github.com/NouamaneTazi/bloomz.cpp) repo on GitHub", | |
| inputs=[ | |
| gr.Text(max_lines=1, label="your hf_token"), | |
| gr.Text(max_lines=1, label="model_id (e.g.: bigscience/bloomz-7b1)"), | |
| gr.Radio(choices=["FP16", "FP32"], label="Precision", value="FP16"), | |
| gr.Checkbox(value=False, label="4-bits quantization"), | |
| gr.Text(max_lines=1, label="destination (e.g.: my-username/bloomz-7b1.cpp)"), | |
| ], | |
| outputs=[gr.Markdown(label="output")], | |
| fn=run, | |
| ).queue() | |
| demo.launch() | |