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import csv
from datetime import datetime
import os
from typing import Optional
import gradio as gr
from huggingface_hub import HfApi, Repository
HF_TOKEN = os.environ.get("HF_TOKEN")
repo: Optional[Repository] = None
DESCRIPTION = """
The steps are the following:
- Paste a read-access token from hf.co/settings/tokens. Read access is enough given that we will open a PR against the source repo.
- Input a model id from the Hub
- 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 🔥
⚠️ For now only `pytorch_model.bin` files are supported but we'll extend in the future.
"""
title="Convert any model to Safetensors and open a PR"
allow_flagging="never"
def token_text(visible=False):
return gr.Text(max_lines=1, label="your_hf_token", visible=visible)
def run(a, b, c):
return f"{a}, {b}, {c}"
with gr.Blocks(title=title) as demo:
description = gr.Markdown(f"""# {title}""")
description = gr.Markdown(DESCRIPTION)
with gr.Row() as r:
with gr.Column() as c:
model_id = gr.Text(max_lines=1, label="model_id")
is_private = gr.Checkbox(label="Private model")
token = token_text()
with gr.Row() as c:
clean = gr.ClearButton()
submit = gr.Button("Submit", variant="primary")
with gr.Column() as d:
output = gr.Markdown()
is_private.change(lambda s: token_text(s), inputs=is_private, outputs=token)
submit.click(run, inputs=[model_id, is_private, token], outputs=output, concurrency_limit=1)
demo.queue(max_size=10).launch(show_api=True)
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