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import gradio as gr
import os
from convert_repo_to_safetensors_gr import convert_repo_to_safetensors_multi
os.environ['HF_OUTPUT_REPO'] = 'John6666/safetensors_converting_test'
css = """"""
with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css, delete_cache=(60, 3600)) as demo:
gr.Markdown(
f"""
- [A CLI version of this tool is available here](https://huggingface.co/spaces/John6666/convert_repo_to_safetensors/tree/main/local).
""")
with gr.Column():
repo_id = gr.Textbox(label="Repo ID", placeholder="author/model", value="", lines=1)
is_upload = gr.Checkbox(label="Upload safetensors to HF Repo", info="Fast download, but files will be public.", value=False)
with gr.Accordion("Advanced", open=False):
dtype = gr.Radio(label="Output data type", choices=["fp16", "fp32", "bf16", "default"], value="fp16")
hf_token = gr.Textbox(label="Your HF write token", placeholder="hf_...", value="", max_lines=1)
with gr.Row():
newrepo_id = gr.Textbox(label="Upload repo ID", placeholder="author/model", value="", max_lines=1)
newrepo_type = gr.Radio(label="Upload repo type", choices=["model", "dataset"], value="model")
is_private = gr.Checkbox(label="Create / Use private repo", value=True)
uploaded_urls = gr.CheckboxGroup(visible=False, choices=[], value=None) # hidden
run_button = gr.Button(value="Convert")
st_file = gr.Files(label="Output", interactive=False)
st_md = gr.Markdown()
gr.on(
triggers=[repo_id.submit, run_button.click],
fn=convert_repo_to_safetensors_multi,
inputs=[repo_id, hf_token, st_file, uploaded_urls, dtype, is_upload, newrepo_id, newrepo_type, is_private],
outputs=[st_file, uploaded_urls, st_md],
)
demo.queue()
demo.launch()
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