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| import os | |
| import subprocess | |
| from huggingface_hub import HfApi, upload_folder | |
| import gradio as gr | |
| import requests | |
| from huggingface_hub import whoami, list_models | |
| def error_str(error, title="Error"): | |
| return f"""#### {title} | |
| {error}""" if error else "" | |
| def url_to_model_id(model_id_str): | |
| return model_id_str.split("/")[-2] + "/" + model_id_str.split("/")[-1] if model_id_str.startswith("https://huggingface.co/") else model_id_str | |
| def has_diffusion_model(model_id, token): | |
| api = HfApi(token=token) | |
| return any([f.endswith("diffusion_pytorch_model.bin") for f in api.list_repo_files(repo_id=model_id)]) | |
| def get_my_model_names(token): | |
| try: | |
| author = whoami(token=token) | |
| model_infos = list_models(author=author["name"], use_auth_token=token) | |
| model_names = [] | |
| for model_info in model_infos: | |
| model_id = model_info.modelId | |
| if has_diffusion_model(model_id, token): | |
| 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): | |
| if token: | |
| model_names, error = get_my_model_names(token) | |
| return gr.update(visible=not error), gr.update(choices=model_names, label="Select a model:"), error_str(error) | |
| else: | |
| return gr.update(visible=False), gr.update(choices=[], label="Select a model:"), None | |
| def on_load_model(user_model_id, other_model_id, token): | |
| if not user_model_id and not other_model_id: | |
| return None, None, None, None, gr.update(value=error_str("Please enter a model ID.")) | |
| try: | |
| model_id = url_to_model_id(other_model_id) if other_model_id else user_model_id | |
| original_model_id = model_id | |
| if not has_diffusion_model(model_id, token): | |
| return None, None, None, None, gr.update(value=error_str("There are no diffusion weights in the model you selected.")) | |
| user = whoami(token=token) | |
| model_id = user["name"] + "/" + model_id.split("/")[-1] | |
| title = " ".join([w.capitalize() for w in model_id.split("/")[-1].replace("-", " ").replace("_", " ").split(" ")]) | |
| description = f"""Demo for <a href="https://huggingface.co/{original_model_id}">{title}</a> Stable Diffusion model.""" | |
| return gr.update(visible=True), gr.update(value=model_id), gr.update(value=title), gr.update(value=description), None | |
| except Exception as e: | |
| return None, None, None, None, gr.update(value=error_str(e)) | |
| def create_and_push(space_type, hardware, private_space, other_model_name, radio_model_names, 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", | |
| private=private_space | |
| ) | |
| api_url = f'https://huggingface.co/api/spaces/{model_id}' | |
| headers = { "Authorization" : f"Bearer {token}"} | |
| # add HUGGING_FACE_HUB_TOKEN secret to new space | |
| requests.post(f'{api_url}/secrets', json={"key":"HUGGING_FACE_HUB_TOKEN","value":token}, headers=headers) | |
| # set new Space Hardware flavor | |
| requests.post(f'{api_url}/hardware', json={'flavor': hardware}, headers=headers) | |
| # 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("$model_id", url_to_model_id(other_model_name) if other_model_name else radio_model_names) | |
| app = app.replace("$title", title) | |
| app = app.replace("$description", description) | |
| app = app.replace("$prefix", prefix) | |
| app = app.replace("$space_id", whoami(token=token)["name"] + "/" + model_id.split("/")[-1]) | |
| # 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) | |
| 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. | |
| 1️⃣ Make sure you have created your hugging face account | |
| 2️⃣ Generate a token with write access | |
| 3️⃣ Choose a stable diffusion base model, there are thousands of them in the model Hub | |
| 4️⃣ Choose Space type | |
| 5️⃣ Choose the new Space Hardware | |
| It is done. | |
| """ | |
| 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, | |
| type="password", | |
| 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="Your models:") | |
| other_model_name = gr.Textbox(label="Other model:", placeholder="URL or model id, e.g. username/model_name") | |
| btn_load = gr.Button(value="Load 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", lines=5) | |
| 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?") | |
| private_space = gr.Checkbox(label="Private Space") | |
| gr.Markdown("Choose the new Space Hardware <small>[check pricing page](https://huggingface.co/pricing#spaces), you need payment method to upgrade your Space hardware</small>") | |
| hardware = gr.Dropdown(["cpu-basic","cpu-upgrade","t4-small","t4-medium","a10g-small","a10g-large"],value = "cpu-basic", label="Space Hardware") | |
| 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, radio_model_names, error_output], | |
| queue=False, | |
| scroll_to_output=True) | |
| btn_load.click( | |
| fn=on_load_model, | |
| inputs=[radio_model_names, other_model_name, input_token], | |
| outputs=[group_create, name, title, description, error_output], | |
| queue=False, | |
| scroll_to_output=True) | |
| brn_create.click( | |
| fn=create_and_push, | |
| inputs=[space_type, hardware, private_space, other_model_name, radio_model_names, name, 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) |