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Update app.py
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app.py
CHANGED
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@@ -1,5 +1,4 @@
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import os
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import subprocess
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from huggingface_hub import HfApi, upload_folder
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import gradio as gr
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@@ -10,17 +9,24 @@ def error_str(error, title="Error"):
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return f"""#### {title}
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{error}""" if error else ""
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def get_my_model_names(token):
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try:
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author = whoami(token=token)
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model_infos = list_models(author=author["name"], use_auth_token=token)
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model_names = []
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for model_info in model_infos:
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model_id = model_info.modelId
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if
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model_names.append(model_id)
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if not model_names:
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@@ -34,9 +40,33 @@ def get_my_model_names(token):
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def on_token_change(token):
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model_names, error = get_my_model_names(token)
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return gr.update(visible=bool(model_names)), gr.update(
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-
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try:
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@@ -52,7 +82,7 @@ def create_and_push(space_type, model_id, title, description, prefix, update, to
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# 2. Replace the name, title, and description in the template
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with open("template/app_simple.py" if space_type == "Simple" else "template/app_advanced.py", "r") as f:
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app = f.read()
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app = app.replace("$model_id",
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app = app.replace("$title", title)
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app = app.replace("$description", description)
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app = app.replace("$prefix", prefix)
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@@ -88,16 +118,6 @@ def create_and_push(space_type, model_id, title, description, prefix, update, to
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except Exception as e:
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return error_str(e)
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def on_model_change(radio_model_names):
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name = radio_model_names
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title = " ".join([w.capitalize() for w in name.split("/")[-1].replace("-", " ").replace("_", " ").split(" ")])
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description = f"""Demo for <a href="https://huggingface.co/{radio_model_names}">{title}</a> Stable Diffusion model.<br>
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Add the following tokens to your prompts for the model to work properly: <b>$prefix</b>."""
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return gr.update(value=name), gr.update(value=title), gr.update(value=description)
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DESCRIPTION = """### Create a gradio space for your Diffusers🧨 model
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With this space, you can easily create a gradio demo for your Diffusers model and share it with the community.
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)
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gr.Markdown("You can get a token [here](https://huggingface.co/settings/tokens)")
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with gr.Group(visible=False) as group_model:
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radio_model_names = gr.Radio(label="
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with gr.Column(scale=10):
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with gr.Column(visible=False) as group_create:
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gr.Markdown("#### 2. Enter details and create the space")
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name = gr.Textbox(label="Name", placeholder="e.g. diffusers-demo")
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title = gr.Textbox(label="Title", placeholder="e.g. Diffusers Demo")
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description = gr.Textbox(label="Description", placeholder="e.g. Demo for my awesome Diffusers model")
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prefix = gr.Textbox(label="Prefix tokens", placeholder="Tokens that are required to be present in the prompt, e.g. `rick and morty style`")
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gr.Markdown("""#### Choose space type
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- **Simple** - Runs on GPU using Hugging Face inference API, but you cannot control image generation parameters.
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input_token.change(
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fn=on_token_change,
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inputs=input_token,
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outputs=[group_model,
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queue=False,
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scroll_to_output=True)
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fn=
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inputs=radio_model_names,
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outputs=[name, title, description],
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queue=False,
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scroll_to_output=True)
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brn_create.click(
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fn=create_and_push,
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inputs=[space_type, radio_model_names, title, description, prefix, update, input_token],
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outputs=[error_output],
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scroll_to_output=True
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)
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import os
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from huggingface_hub import HfApi, upload_folder
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import gradio as gr
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return f"""#### {title}
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{error}""" if error else ""
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def url_to_model_id(model_id_str):
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return model_id_str.split("/")[-2] + "/" + model_id_str.split("/")[-1] if model_id_str.startswith("https://huggingface.co/") else model_id_str
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def has_diffusion_model(model_id, token):
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api = HfApi(token=token)
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return any([f.endswith("diffusion_pytorch_model.bin") for f in api.list_repo_files(repo_id=model_id)])
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def get_my_model_names(token):
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try:
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author = whoami(token=token)
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model_infos = list_models(author=author["name"], use_auth_token=token)
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model_names = []
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for model_info in model_infos:
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model_id = model_info.modelId
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if has_diffusion_model(model_id, token):
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model_names.append(model_id)
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if not model_names:
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def on_token_change(token):
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model_names, error = get_my_model_names(token)
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return gr.update(visible=bool(model_names)), gr.update(choices=model_names), gr.update(value=error_str(error))
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def on_load_model(user_model_id, other_model_id, token):
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if not user_model_id and not other_model_id:
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return None, None, None, None, gr.update(value=error_str("Please enter a model ID."))
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try:
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model_id = url_to_model_id(other_model_id) if other_model_id else user_model_id
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original_model_id = model_id
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if not has_diffusion_model(model_id, token):
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return None, None, None, None, gr.update(value=error_str("There are no diffusion weights in the model you selected."))
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user = whoami(token=token)
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model_id = user["name"] + "/" + model_id.split("/")[-1]
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title = " ".join([w.capitalize() for w in model_id.split("/")[-1].replace("-", " ").replace("_", " ").split(" ")])
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description = f"""Demo for <a href="https://huggingface.co/{original_model_id}">{title}</a> Stable Diffusion model.<br>
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Add the following tokens to your prompts for the model to work properly: <b>$prefix</b>."""
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return gr.update(visible=True), gr.update(value=model_id), gr.update(value=title), gr.update(value=description), None
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except Exception as e:
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return None, None, None, None, gr.update(value=error_str(e))
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def create_and_push(space_type, other_model_name, radio_model_names, model_id, title, description, prefix, update, token):
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try:
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# 2. Replace the name, title, and description in the template
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with open("template/app_simple.py" if space_type == "Simple" else "template/app_advanced.py", "r") as f:
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app = f.read()
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app = app.replace("$model_id", url_to_model_id(other_model_name) if other_model_name else radio_model_names)
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app = app.replace("$title", title)
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app = app.replace("$description", description)
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app = app.replace("$prefix", prefix)
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except Exception as e:
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return error_str(e)
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DESCRIPTION = """### Create a gradio space for your Diffusers🧨 model
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With this space, you can easily create a gradio demo for your Diffusers model and share it with the community.
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)
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gr.Markdown("You can get a token [here](https://huggingface.co/settings/tokens)")
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with gr.Group(visible=False) as group_model:
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radio_model_names = gr.Radio(label="Your models:")
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other_model_name = gr.Textbox(label="Other model:", placeholder="URL or model id, e.g. username/model_name")
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btn_load = gr.Button(value="Load model")
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with gr.Column(scale=10):
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with gr.Column(visible=False) as group_create:
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gr.Markdown("#### 2. Enter details and create the space")
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name = gr.Textbox(label="Name", placeholder="e.g. diffusers-demo")
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title = gr.Textbox(label="Title", placeholder="e.g. Diffusers Demo")
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description = gr.Textbox(label="Description", placeholder="e.g. Demo for my awesome Diffusers model", lines=5)
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prefix = gr.Textbox(label="Prefix tokens", placeholder="Tokens that are required to be present in the prompt, e.g. `rick and morty style`")
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gr.Markdown("""#### Choose space type
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- **Simple** - Runs on GPU using Hugging Face inference API, but you cannot control image generation parameters.
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input_token.change(
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fn=on_token_change,
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inputs=input_token,
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outputs=[group_model, radio_model_names, error_output],
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queue=False,
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scroll_to_output=True)
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btn_load.click(
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fn=on_load_model,
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inputs=[radio_model_names, other_model_name, input_token],
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outputs=[group_create, name, title, description, error_output],
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queue=False,
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scroll_to_output=True)
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brn_create.click(
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fn=create_and_push,
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inputs=[space_type, other_model_name, radio_model_names, name, title, description, prefix, update, input_token],
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outputs=[error_output],
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scroll_to_output=True
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)
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