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import os | |
import subprocess | |
from huggingface_hub import HfApi, upload_folder | |
import gradio as gr | |
from huggingface_hub import whoami, list_models | |
def error_str(error, title="Error"): | |
return f"""#### {title} | |
{error}""" if error else "" | |
def get_my_model_names(token): | |
try: | |
author = whoami(token=token) | |
model_infos = list_models(author=author["name"], use_auth_token=token) | |
api = HfApi(token=token) | |
model_names = [] | |
for model_info in model_infos: | |
model_id = model_info.modelId | |
if any([f.endswith("diffusion_pytorch_model.bin") for f in api.list_repo_files(repo_id=model_id)]): | |
model_names.append(model_id) | |
if not model_names: | |
return [], Exception("No diffusion models found in your account.") | |
return model_names, None | |
except Exception as e: | |
return [], e | |
def on_token_change(token): | |
model_names, error = get_my_model_names(token) | |
return gr.update(visible=bool(model_names)), gr.update(visible=bool(model_names)), gr.update(choices=model_names), gr.update(visible=bool(model_names)), gr.update(value=error_str(error)) | |
def create_and_push(space_type, model_id, title, description, prefix, update, token): | |
try: | |
# 1. Create the new space | |
api = HfApi(token=token) | |
repo_url = api.create_repo( | |
repo_id=model_id, | |
exist_ok=update, | |
repo_type="space", | |
space_sdk="gradio", | |
) | |
# 2. Replace the name, title, and description in the template | |
with open("template/app_simple.py" if space_type == "Simple" else "template/app_advanced.py", "r") as f: | |
app = f.read() | |
app = app.replace("$model_id", model_id) | |
app = app.replace("$title", title) | |
app = app.replace("$description", description) | |
app = app.replace("$prefix", prefix) | |
# 3. save the new app.py file | |
with open("app.py", "w") as f: | |
f.write(app) | |
# 4. Upload the new app.py to the space | |
api.upload_file( | |
path_or_fileobj="app.py", | |
path_in_repo="app.py", | |
repo_id=model_id, | |
token=token, | |
repo_type="space", | |
) | |
# 5. Upload template/requirements.txt to the space | |
if space_type == "Advanced": | |
api.upload_file( | |
path_or_fileobj="template/requirements.txt", | |
path_in_repo="requirements.txt", | |
repo_id=model_id, | |
token=token, | |
repo_type="space", | |
) | |
# 5. Delete the app.py file | |
os.remove("app.py") | |
return f"""Successfully created space at: <a href="{repo_url}" target="_blank">{repo_url}</a>""" | |
except Exception as e: | |
return error_str(e) | |
def on_model_change(radio_model_names): | |
name = radio_model_names | |
title = " ".join([w.capitalize() for w in name.split("/")[-1].replace("-", " ").replace("_", " ").split(" ")]) | |
description = f"""Demo for <a href="https://huggingface.co/{radio_model_names}">{title}</a> Stable Diffusion model.<br> | |
Add the following tokens to your prompts for the model to work properly: <b>$prefix</b>.""" | |
return gr.update(value=name), gr.update(value=title), gr.update(value=description) | |
DESCRIPTION = """### Create a gradio space for your Diffusers🧨 model | |
With this space, you can easily create a gradio demo for your Diffusers model and share it with the community. | |
""" | |
with gr.Blocks() as demo: | |
gr.Markdown(DESCRIPTION) | |
with gr.Row(): | |
with gr.Column(scale=11): | |
with gr.Column(): | |
gr.Markdown("#### 1. Choose a model") | |
input_token = gr.Textbox( | |
max_lines=1, | |
label="Enter your Hugging Face token", | |
placeholder="WRITE permission is required!", | |
) | |
gr.Markdown("You can get a token [here](https://huggingface.co/settings/tokens)") | |
with gr.Group(visible=False) as group_model: | |
radio_model_names = gr.Radio(label="Choose a model") | |
with gr.Column(scale=10): | |
with gr.Column(visible=False) as group_create: | |
gr.Markdown("#### 2. Enter details and create the space") | |
name = gr.Textbox(label="Name", placeholder="e.g. diffusers-demo") | |
title = gr.Textbox(label="Title", placeholder="e.g. Diffusers Demo") | |
description = gr.Textbox(label="Description", placeholder="e.g. Demo for my awesome Diffusers model") | |
prefix = gr.Textbox(label="Prefix tokens", placeholder="Tokens that are required to be present in the prompt, e.g. `rick and morty style`") | |
gr.Markdown("""#### Choose space type | |
- **Simple** - Runs on GPU using Hugging Face inference API, but you cannot control image generation parameters. | |
- **Advanced** - Runs on CPU by default, with the option to upgrade to GPU. You can control image generation parameters: guidance, number of steps, image size, etc. Also supports **image-to-image** generation.""") | |
space_type =gr.Radio(label="Space type", choices=["Simple", "Advanced"], value="Simple") | |
update = gr.Checkbox(label="Update the space if it already exists?") | |
brn_create = gr.Button("Create the space") | |
error_output = gr.Markdown(label="Output") | |
input_token.change( | |
fn=on_token_change, | |
inputs=input_token, | |
outputs=[group_model, group_create, radio_model_names, error_output], | |
queue=False, | |
scroll_to_output=True) | |
radio_model_names.change( | |
fn=on_model_change, | |
inputs=radio_model_names, | |
outputs=[name, title, description], | |
queue=False, | |
scroll_to_output=True) | |
brn_create.click( | |
fn=create_and_push, | |
inputs=[space_type, radio_model_names, title, description, prefix, update, input_token], | |
outputs=[error_output], | |
scroll_to_output=True | |
) | |
# gr.Markdown("""<img src="https://raw.githubusercontent.com/huggingface/diffusers/main/docs/source/imgs/diffusers_library.jpg" width="150"/>""") | |
gr.HTML(""" | |
<div style="border-top: 1px solid #303030;"> | |
<br> | |
<p>Space by: <a href="https://twitter.com/hahahahohohe"><img src="https://img.shields.io/twitter/follow/hahahahohohe?label=%40anzorq&style=social" alt="Twitter Follow"></a></p><br> | |
<a href="https://www.buymeacoffee.com/anzorq" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 45px !important;width: 162px !important;" ></a><br><br> | |
<p><img src="https://visitor-badge.glitch.me/badge?page_id=anzorq.sd-space-creator" alt="visitors"></p> | |
</div> | |
""") | |
demo.queue() | |
demo.launch(debug=True) | |