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+---
+name: gradio
+description: Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
+---
+
+# Gradio
+
+Gradio is a Python library for building interactive web UIs and ML demos. This skill covers the core API, patterns, and examples.
+
+## Guides
+
+Detailed guides on specific topics (read these when relevant):
+
+- [Quickstart](https://www.gradio.app/guides/quickstart)
+- [The Interface Class](https://www.gradio.app/guides/the-interface-class)
+- [Blocks and Event Listeners](https://www.gradio.app/guides/blocks-and-event-listeners)
+- [Controlling Layout](https://www.gradio.app/guides/controlling-layout)
+- [More Blocks Features](https://www.gradio.app/guides/more-blocks-features)
+- [Custom CSS and JS](https://www.gradio.app/guides/custom-CSS-and-JS)
+- [Streaming Outputs](https://www.gradio.app/guides/streaming-outputs)
+- [Streaming Inputs](https://www.gradio.app/guides/streaming-inputs)
+- [Sharing Your App](https://www.gradio.app/guides/sharing-your-app)
+- [Custom HTML Components](https://www.gradio.app/guides/custom-HTML-components)
+- [Getting Started with the Python Client](https://www.gradio.app/guides/getting-started-with-the-python-client)
+- [Getting Started with the JS Client](https://www.gradio.app/guides/getting-started-with-the-js-client)
+
+## Core Patterns
+
+**Interface** (high-level): wraps a function with input/output components.
+
+```python
+import gradio as gr
+
+def greet(name):
+    return f"Hello {name}!"
+
+gr.Interface(fn=greet, inputs="text", outputs="text").launch()
+```
+
+**Blocks** (low-level): flexible layout with explicit event wiring.
+
+```python
+import gradio as gr
+
+with gr.Blocks() as demo:
+    name = gr.Textbox(label="Name")
+    output = gr.Textbox(label="Greeting")
+    btn = gr.Button("Greet")
+    btn.click(fn=lambda n: f"Hello {n}!", inputs=name, outputs=output)
+
+demo.launch()
+```
+
+**ChatInterface**: high-level wrapper for chatbot UIs.
+
+```python
+import gradio as gr
+
+def respond(message, history):
+    return f"You said: {message}"
+
+gr.ChatInterface(fn=respond).launch()
+```
+
+## Key Component Signatures
+
+### `Textbox(value: str | I18nData | Callable | None = None, type: Literal['text', 'password', 'email'] = "text", lines: int = 1, max_lines: int | None = None, placeholder: str | I18nData | None = None, label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, autofocus: bool = False, autoscroll: bool = True, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", text_align: Literal['left', 'right'] | None = None, rtl: bool = False, buttons: list[Literal['copy'] | Button] | None = None, max_length: int | None = None, submit_btn: str | bool | None = False, stop_btn: str | bool | None = False, html_attributes: InputHTMLAttributes | None = None)`
+Creates a textarea for user to enter string input or display string output..
+
+### `Number(value: float | Callable | None = None, label: str | I18nData | None = None, placeholder: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", buttons: list[Button] | None = None, precision: int | None = None, minimum: float | None = None, maximum: float | None = None, step: float = 1)`
+Creates a numeric field for user to enter numbers as input or display numeric output..
+
+### `Slider(minimum: float = 0, maximum: float = 100, value: float | Callable | None = None, step: float | None = None, precision: int | None = None, label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", randomize: bool = False, buttons: list[Literal['reset']] | None = None)`
+Creates a slider that ranges from {minimum} to {maximum} with a step size of {step}..
+
+### `Checkbox(value: bool | Callable = False, label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", buttons: list[Button] | None = None)`
+Creates a checkbox that can be set to `True` or `False`.
+
+### `Dropdown(choices: Sequence[str | int | float | tuple[str, str | int | float]] | None = None, value: str | int | float | Sequence[str | int | float] | Callable | DefaultValue | None = DefaultValue(), type: Literal['value', 'index'] = "value", multiselect: bool | None = None, allow_custom_value: bool = False, max_choices: int | None = None, filterable: bool = True, label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", buttons: list[Button] | None = None)`
+Creates a dropdown of choices from which a single entry or multiple entries can be selected (as an input component) or displayed (as an output component)..
+
+### `Radio(choices: Sequence[str | int | float | tuple[str, str | int | float]] | None = None, value: str | int | float | Callable | None = None, type: Literal['value', 'index'] = "value", label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", rtl: bool = False, buttons: list[Button] | None = None)`
+Creates a set of (string or numeric type) radio buttons of which only one can be selected..
+
+### `Image(value: str | PIL.Image.Image | np.ndarray | Callable | None = None, format: str = "webp", height: int | str | None = None, width: int | str | None = None, image_mode: Literal['1', 'L', 'P', 'RGB', 'RGBA', 'CMYK', 'YCbCr', 'LAB', 'HSV', 'I', 'F'] | None = "RGB", sources: list[Literal['upload', 'webcam', 'clipboard']] | Literal['upload', 'webcam', 'clipboard'] | None = None, type: Literal['numpy', 'pil', 'filepath'] = "numpy", label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, buttons: list[Literal['download', 'share', 'fullscreen'] | Button] | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, streaming: bool = False, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", webcam_options: WebcamOptions | None = None, placeholder: str | None = None, watermark: WatermarkOptions | None = None)`
+Creates an image component that can be used to upload images (as an input) or display images (as an output)..
+
+### `Audio(value: str | Path | tuple[int, np.ndarray] | Callable | None = None, sources: list[Literal['upload', 'microphone']] | Literal['upload', 'microphone'] | None = None, type: Literal['numpy', 'filepath'] = "numpy", label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, streaming: bool = False, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", format: Literal['wav', 'mp3'] | None = None, autoplay: bool = False, editable: bool = True, buttons: list[Literal['download', 'share'] | Button] | None = None, waveform_options: WaveformOptions | dict | None = None, loop: bool = False, recording: bool = False, subtitles: str | Path | list[dict[str, Any]] | None = None, playback_position: float = 0)`
+Creates an audio component that can be used to upload/record audio (as an input) or display audio (as an output)..
+
+### `Video(value: str | Path | Callable | None = None, format: str | None = None, sources: list[Literal['upload', 'webcam']] | Literal['upload', 'webcam'] | None = None, height: int | str | None = None, width: int | str | None = None, label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", webcam_options: WebcamOptions | None = None, include_audio: bool | None = None, autoplay: bool = False, buttons: list[Literal['download', 'share'] | Button] | None = None, loop: bool = False, streaming: bool = False, watermark: WatermarkOptions | None = None, subtitles: str | Path | list[dict[str, Any]] | None = None, playback_position: float = 0)`
+Creates a video component that can be used to upload/record videos (as an input) or display videos (as an output).
+
+### `File(value: str | list[str] | Callable | None = None, file_count: Literal['single', 'multiple', 'directory'] = "single", file_types: list[str] | None = None, type: Literal['filepath', 'binary'] = "filepath", label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, height: int | str | float | None = None, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", allow_reordering: bool = False, buttons: list[Button] | None = None)`
+Creates a file component that allows uploading one or more generic files (when used as an input) or displaying generic files or URLs for download (as output).
+
+### `Chatbot(value: list[MessageDict | Message] | Callable | None = None, label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, autoscroll: bool = True, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", height: int | str | None = 400, resizable: bool = False, max_height: int | str | None = None, min_height: int | str | None = None, editable: Literal['user', 'all'] | None = None, latex_delimiters: list[dict[str, str | bool]] | None = None, rtl: bool = False, buttons: list[Literal['share', 'copy', 'copy_all'] | Button] | None = None, watermark: str | None = None, avatar_images: tuple[str | Path | None, str | Path | None] | None = None, sanitize_html: bool = True, render_markdown: bool = True, feedback_options: list[str] | tuple[str, ...] | None = ('Like', 'Dislike'), feedback_value: Sequence[str | None] | None = None, line_breaks: bool = True, layout: Literal['panel', 'bubble'] | None = None, placeholder: str | None = None, examples: list[ExampleMessage] | None = None, allow_file_downloads: <class 'inspect._empty'> = True, group_consecutive_messages: bool = True, allow_tags: list[str] | bool = True, reasoning_tags: list[tuple[str, str]] | None = None, like_user_message: bool = False)`
+Creates a chatbot that displays user-submitted messages and responses.
+
+### `Button(value: str | I18nData | Callable = "Run", every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, variant: Literal['primary', 'secondary', 'stop', 'huggingface'] = "secondary", size: Literal['sm', 'md', 'lg'] = "lg", icon: str | Path | None = None, link: str | None = None, link_target: Literal['_self', '_blank', '_parent', '_top'] = "_self", visible: bool | Literal['hidden'] = True, interactive: bool = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", scale: int | None = None, min_width: int | None = None)`
+Creates a button that can be assigned arbitrary .click() events.
+
+### `Markdown(value: str | I18nData | Callable | None = None, label: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, rtl: bool = False, latex_delimiters: list[dict[str, str | bool]] | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", sanitize_html: bool = True, line_breaks: bool = False, header_links: bool = False, height: int | str | None = None, max_height: int | str | None = None, min_height: int | str | None = None, buttons: list[Literal['copy']] | None = None, container: bool = False, padding: bool = False)`
+Used to render arbitrary Markdown output.
+
+### `HTML(value: Any | Callable | None = None, label: str | I18nData | None = None, html_template: str = "${value}", css_template: str = "", js_on_load: str | None = "element.addEventListener('click', function() { trigger('click') });", apply_default_css: bool = True, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool = False, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", min_height: int | None = None, max_height: int | None = None, container: bool = False, padding: bool = False, autoscroll: bool = False, buttons: list[Button] | None = None, props: Any)`
+Creates a component with arbitrary HTML.
+
+
+## Custom HTML Components
+
+If a task requires significant customization of an existing component or a component that doesn't exist in Gradio, you can create one with `gr.HTML`. It supports `html_template` (with `${}` JS expressions and `{{}}` Handlebars syntax), `css_template` for scoped styles, and `js_on_load` for interactivity — where `props.value` updates the component value and `trigger('event_name')` fires Gradio events. For reuse, subclass `gr.HTML` and define `api_info()` for API/MCP support. See the [full guide](https://www.gradio.app/guides/custom-HTML-components).
+
+Here's an example that shows how to create and use these kinds of components:
+
+```python
+import gradio as gr
+
+class StarRating(gr.HTML):
+    def __init__(self, label, value=0, **kwargs):
+        html_template = """
+        <h2>${label} rating:</h2>
+        ${Array.from({length: 5}, (_, i) => `<img class='${i < value ? '' : 'faded'}' src='https://upload.wikimedia.org/wikipedia/commons/d/df/Award-star-gold-3d.svg'>`).join('')}
+        """
+        css_template = """
+            img { height: 50px; display: inline-block; cursor: pointer; }
+            .faded { filter: grayscale(100%); opacity: 0.3; }
+        """
+        js_on_load = """
+            const imgs = element.querySelectorAll('img');
+            imgs.forEach((img, index) => {
+                img.addEventListener('click', () => {
+                    props.value = index + 1;
+                });
+            });
+        """
+        super().__init__(value=value, label=label, html_template=html_template, css_template=css_template, js_on_load=js_on_load, **kwargs)
+
+    def api_info(self):
+        return {"type": "integer", "minimum": 0, "maximum": 5}
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Restaurant Review")
+    food_rating = StarRating(label="Food", value=3)
+    service_rating = StarRating(label="Service", value=3)
+    ambience_rating = StarRating(label="Ambience", value=3)
+    average_btn = gr.Button("Calculate Average Rating")
+    rating_output = StarRating(label="Average", value=3)
+    def calculate_average(food, service, ambience):
+        return round((food + service + ambience) / 3)
+    average_btn.click(
+        fn=calculate_average,
+        inputs=[food_rating, service_rating, ambience_rating],
+        outputs=rating_output
+    )
+
+demo.launch()
+```
+
+## Event Listeners
+
+All event listeners share the same signature:
+
+```python
+component.event_name(
+    fn: Callable | None | Literal["decorator"] = "decorator",
+    inputs: Component | Sequence[Component] | set[Component] | None = None,
+    outputs: Component | Sequence[Component] | set[Component] | None = None,
+    api_name: str | None = None,
+    api_description: str | None | Literal[False] = None,
+    scroll_to_output: bool = False,
+    show_progress: Literal["full", "minimal", "hidden"] = "full",
+    show_progress_on: Component | Sequence[Component] | None = None,
+    queue: bool = True,
+    batch: bool = False,
+    max_batch_size: int = 4,
+    preprocess: bool = True,
+    postprocess: bool = True,
+    cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
+    trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
+    js: str | Literal[True] | None = None,
+    concurrency_limit: int | None | Literal["default"] = "default",
+    concurrency_id: str | None = None,
+    api_visibility: Literal["public", "private", "undocumented"] = "public",
+    time_limit: int | None = None,
+    stream_every: float = 0.5,
+    key: int | str | tuple[int | str, ...] | None = None,
+    validator: Callable | None = None,
+) -> Dependency
+```
+
+Supported events per component:
+
+- **AnnotatedImage**: select
+- **Audio**: stream, change, clear, play, pause, stop, pause, start_recording, pause_recording, stop_recording, upload, input
+- **BarPlot**: select, double_click
+- **BrowserState**: change
+- **Button**: click
+- **Chatbot**: change, select, like, retry, undo, example_select, option_select, clear, copy, edit
+- **Checkbox**: change, input, select
+- **CheckboxGroup**: change, input, select
+- **ClearButton**: click
+- **Code**: change, input, focus, blur
+- **ColorPicker**: change, input, submit, focus, blur
+- **Dataframe**: change, input, select, edit
+- **Dataset**: click, select
+- **DateTime**: change, submit
+- **DeepLinkButton**: click
+- **Dialogue**: change, input, submit
+- **DownloadButton**: click
+- **Dropdown**: change, input, select, focus, blur, key_up
+- **DuplicateButton**: click
+- **File**: change, select, clear, upload, delete, download
+- **FileExplorer**: change, input, select
+- **Gallery**: select, upload, change, delete, preview_close, preview_open
+- **HTML**: change, input, click, double_click, submit, stop, edit, clear, play, pause, end, start_recording, pause_recording, stop_recording, focus, blur, upload, release, select, stream, like, example_select, option_select, load, key_up, apply, delete, tick, undo, retry, expand, collapse, download, copy
+- **HighlightedText**: change, select
+- **Image**: clear, change, stream, select, upload, input
+- **ImageEditor**: clear, change, input, select, upload, apply
+- **ImageSlider**: clear, change, stream, select, upload, input
+- **JSON**: change
+- **Label**: change, select
+- **LinePlot**: select, double_click
+- **LoginButton**: click
+- **Markdown**: change, copy
+- **Model3D**: change, upload, edit, clear
+- **MultimodalTextbox**: change, input, select, submit, focus, blur, stop
+- **Navbar**: change
+- **Number**: change, input, submit, focus, blur
+- **ParamViewer**: change, upload
+- **Plot**: change
+- **Radio**: select, change, input
+- **ScatterPlot**: select, double_click
+- **SimpleImage**: clear, change, upload
+- **Slider**: change, input, release
+- **State**: change
+- **Textbox**: change, input, select, submit, focus, blur, stop, copy
+- **Timer**: tick
+- **UploadButton**: click, upload
+- **Video**: change, clear, start_recording, stop_recording, stop, play, pause, end, upload, input
+
+## Additional Reference
+
+- [End-to-End Examples](examples.md) — complete working apps

.agents/skills/gradio/examples.md

@@ -0,0 +1,613 @@
+# Gradio End-to-End Examples
+
+Complete working Gradio apps for reference.
+
+## Blocks Essay Simple
+
+```python
+import gradio as gr
+
+def change_textbox(choice):
+    if choice == "short":
+        return gr.Textbox(lines=2, visible=True)
+    elif choice == "long":
+        return gr.Textbox(lines=8, visible=True, value="Lorem ipsum dolor sit amet")
+    else:
+        return gr.Textbox(visible=False)
+
+with gr.Blocks() as demo:
+    radio = gr.Radio(
+        ["short", "long", "none"], label="What kind of essay would you like to write?"
+    )
+    text = gr.Textbox(lines=2, interactive=True, buttons=["copy"])
+    radio.change(fn=change_textbox, inputs=radio, outputs=text)
+
+demo.launch()
+```
+
+## Blocks Flipper
+
+```python
+import numpy as np
+import gradio as gr
+
+def flip_text(x):
+    return x[::-1]
+
+def flip_image(x):
+    return np.fliplr(x)
+
+with gr.Blocks() as demo:
+    gr.Markdown("Flip text or image files using this demo.")
+    with gr.Tab("Flip Text"):
+        text_input = gr.Textbox()
+        text_output = gr.Textbox()
+        text_button = gr.Button("Flip")
+    with gr.Tab("Flip Image"):
+        with gr.Row():
+            image_input = gr.Image()
+            image_output = gr.Image()
+        image_button = gr.Button("Flip")
+
+    with gr.Accordion("Open for More!", open=False):
+        gr.Markdown("Look at me...")
+        temp_slider = gr.Slider(
+            0, 1,
+            value=0.1,
+            step=0.1,
+            interactive=True,
+            label="Slide me",
+        )
+
+    text_button.click(flip_text, inputs=text_input, outputs=text_output)
+    image_button.click(flip_image, inputs=image_input, outputs=image_output)
+
+demo.launch()
+```
+
+## Blocks Form
+
+```python
+import gradio as gr
+
+with gr.Blocks() as demo:
+    name_box = gr.Textbox(label="Name")
+    age_box = gr.Number(label="Age", minimum=0, maximum=100)
+    symptoms_box = gr.CheckboxGroup(["Cough", "Fever", "Runny Nose"])
+    submit_btn = gr.Button("Submit")
+
+    with gr.Column(visible=False) as output_col:
+        diagnosis_box = gr.Textbox(label="Diagnosis")
+        patient_summary_box = gr.Textbox(label="Patient Summary")
+
+    def submit(name, age, symptoms):
+        return {
+            submit_btn: gr.Button(visible=False),
+            output_col: gr.Column(visible=True),
+            diagnosis_box: "covid" if "Cough" in symptoms else "flu",
+            patient_summary_box: f"{name}, {age} y/o",
+        }
+
+    submit_btn.click(
+        submit,
+        [name_box, age_box, symptoms_box],
+        [submit_btn, diagnosis_box, patient_summary_box, output_col],
+    )
+
+demo.launch()
+```
+
+## Blocks Hello
+
+```python
+import gradio as gr
+
+def welcome(name):
+    return f"Welcome to Gradio, {name}!"
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+    """
+    # Hello World!
+    Start typing below to see the output.
+    """)
+    inp = gr.Textbox(placeholder="What is your name?")
+    out = gr.Textbox()
+    inp.change(welcome, inp, out)
+
+demo.launch()
+```
+
+## Blocks Layout
+
+```python
+import gradio as gr
+
+demo = gr.Blocks()
+
+with demo:
+    with gr.Row():
+        gr.Image(interactive=True, scale=2)
+        gr.Image()
+    with gr.Row():
+        gr.Textbox(label="Text")
+        gr.Number(label="Count", scale=2)
+        gr.Radio(choices=["One", "Two"])
+    with gr.Row():
+        gr.Button("500", scale=0, min_width=500)
+        gr.Button("A", scale=0)
+        gr.Button("grow")
+    with gr.Row():
+        gr.Textbox()
+        gr.Textbox()
+        gr.Button()
+    with gr.Row():
+        with gr.Row():
+            with gr.Column():
+                gr.Textbox(label="Text")
+                gr.Number(label="Count")
+                gr.Radio(choices=["One", "Two"])
+            gr.Image()
+            with gr.Column():
+                gr.Image(interactive=True)
+                gr.Image()
+    gr.Image()
+    gr.Textbox(label="Text")
+    gr.Number(label="Count")
+    gr.Radio(choices=["One", "Two"])
+
+demo.launch()
+```
+
+## Calculator
+
+```python
+import gradio as gr
+
+def calculator(num1, operation, num2):
+    if operation == "add":
+        return num1 + num2
+    elif operation == "subtract":
+        return num1 - num2
+    elif operation == "multiply":
+        return num1 * num2
+    elif operation == "divide":
+        if num2 == 0:
+            raise gr.Error("Cannot divide by zero!")
+        return num1 / num2
+
+demo = gr.Interface(
+    calculator,
+    [
+        "number",
+        gr.Radio(["add", "subtract", "multiply", "divide"]),
+        "number"
+    ],
+    "number",
+    examples=[
+        [45, "add", 3],
+        [3.14, "divide", 2],
+        [144, "multiply", 2.5],
+        [0, "subtract", 1.2],
+    ],
+    title="Toy Calculator",
+    description="Here's a sample toy calculator.",
+    api_name="predict"
+)
+
+demo.launch()
+```
+
+## Chatbot Simple
+
+```python
+import gradio as gr
+import random
+import time
+
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox()
+    clear = gr.ClearButton([msg, chatbot])
+
+    def respond(message, chat_history):
+        bot_message = random.choice(["How are you?", "Today is a great day", "I'm very hungry"])
+        chat_history.append({"role": "user", "content": message})
+        chat_history.append({"role": "assistant", "content": bot_message})
+        time.sleep(2)
+        return "", chat_history
+
+    msg.submit(respond, [msg, chatbot], [msg, chatbot])
+
+demo.launch()
+```
+
+## Chatbot Streaming
+
+```python
+import gradio as gr
+import random
+import time
+
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox()
+    clear = gr.Button("Clear")
+
+    def user(user_message, history: list):
+        return "", history + [{"role": "user", "content": user_message}]
+
+    def bot(history: list):
+        bot_message = random.choice(["How are you?", "I love you", "I'm very hungry"])
+        history.append({"role": "assistant", "content": ""})
+        for character in bot_message:
+            history[-1]['content'] += character
+            time.sleep(0.05)
+            yield history
+
+    msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
+        bot, chatbot, chatbot
+    )
+    clear.click(lambda: None, None, chatbot, queue=False)
+
+demo.launch()
+```
+
+## Custom Css
+
+```python
+import gradio as gr
+
+with gr.Blocks() as demo:
+    with gr.Column(elem_classes="cool-col"):
+        gr.Markdown("### Gradio Demo with Custom CSS", elem_classes="darktest")
+        gr.Markdown(
+            elem_classes="markdown",
+            value="Resize the browser window to see the CSS media query in action.",
+        )
+
+if __name__ == "__main__":
+    demo.launch(css_paths=["demo/custom_css/custom_css.css"])
+```
+
+## Fake Diffusion
+
+```python
+import gradio as gr
+import numpy as np
+import time
+
+def fake_diffusion(steps):
+    rng = np.random.default_rng()
+    for i in range(steps):
+        time.sleep(1)
+        image = rng.random(size=(600, 600, 3))
+        yield image
+    image = np.ones((1000,1000,3), np.uint8)
+    image[:] = [255, 124, 0]
+    yield image
+
+demo = gr.Interface(fake_diffusion,
+                    inputs=gr.Slider(1, 10, 3, step=1),
+                    outputs="image",
+                    api_name="predict")
+
+demo.launch()
+```
+
+## Hello World
+
+```python
+import gradio as gr
+
+
+def greet(name):
+    return "Hello " + name + "!"
+
+
+demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox", api_name="predict")
+
+demo.launch()
+```
+
+## Image Editor
+
+```python
+import gradio as gr
+import time
+
+
+def sleep(im):
+    time.sleep(5)
+    return [im["background"], im["layers"][0], im["layers"][1], im["composite"]]
+
+
+def predict(im):
+    return im["composite"]
+
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        im = gr.ImageEditor(
+            type="numpy",
+        )
+        im_preview = gr.Image()
+    n_upload = gr.Number(0, label="Number of upload events", step=1)
+    n_change = gr.Number(0, label="Number of change events", step=1)
+    n_input = gr.Number(0, label="Number of input events", step=1)
+
+    im.upload(lambda x: x + 1, outputs=n_upload, inputs=n_upload)
+    im.change(lambda x: x + 1, outputs=n_change, inputs=n_change)
+    im.input(lambda x: x + 1, outputs=n_input, inputs=n_input)
+    im.change(predict, outputs=im_preview, inputs=im, show_progress="hidden")
+
+demo.launch()
+```
+
+## On Listener Decorator
+
+```python
+import gradio as gr
+
+with gr.Blocks() as demo:
+    name = gr.Textbox(label="Name")
+    output = gr.Textbox(label="Output Box")
+    greet_btn = gr.Button("Greet")
+
+    @gr.on(triggers=[name.submit, greet_btn.click], inputs=name, outputs=output)
+    def greet(name):
+        return "Hello " + name + "!"
+
+demo.launch()
+```
+
+## Render Merge
+
+```python
+import gradio as gr
+import time
+
+with gr.Blocks() as demo:
+    text_count = gr.Slider(1, 5, value=1, step=1, label="Textbox Count")
+
+    @gr.render(inputs=text_count)
+    def render_count(count):
+        boxes = []
+        for i in range(count):
+            box = gr.Textbox(label=f"Box {i}")
+            boxes.append(box)
+
+        def merge(*args):
+            time.sleep(0.2)  # simulate a delay
+            return " ".join(args)
+
+        merge_btn.click(merge, boxes, output)
+
+        def clear():
+            time.sleep(0.2)  # simulate a delay
+            return [" "] * count
+
+        clear_btn.click(clear, None, boxes)
+
+        def countup():
+            time.sleep(0.2)  # simulate a delay
+            return list(range(count))
+
+        count_btn.click(countup, None, boxes, queue=False)
+
+    with gr.Row():
+        merge_btn = gr.Button("Merge")
+        clear_btn = gr.Button("Clear")
+        count_btn = gr.Button("Count")
+
+    output = gr.Textbox()
+
+demo.launch()
+```
+
+## Reverse Audio 2
+
+```python
+import gradio as gr
+import numpy as np
+
+def reverse_audio(audio):
+    sr, data = audio
+    return (sr, np.flipud(data))
+
+demo = gr.Interface(fn=reverse_audio,
+                    inputs="microphone",
+                    outputs="audio", api_name="predict")
+
+demo.launch()
+```
+
+## Sepia Filter
+
+```python
+import numpy as np
+import gradio as gr
+
+def sepia(input_img):
+    sepia_filter = np.array([
+        [0.393, 0.769, 0.189],
+        [0.349, 0.686, 0.168],
+        [0.272, 0.534, 0.131]
+    ])
+    sepia_img = input_img.dot(sepia_filter.T)
+    sepia_img /= sepia_img.max()
+    return sepia_img
+
+demo = gr.Interface(sepia, gr.Image(), "image", api_name="predict")
+demo.launch()
+```
+
+## Sort Records
+
+```python
+import gradio as gr
+
+def sort_records(records):
+    return records.sort("Quantity")
+
+demo = gr.Interface(
+    sort_records,
+    gr.Dataframe(
+        headers=["Item", "Quantity"],
+        datatype=["str", "number"],  
+        row_count=3,
+        column_count=2,
+        column_limits=(2, 2),
+        type="polars"
+    ),
+    "dataframe",
+    description="Sort by Quantity"
+)
+
+demo.launch()
+```
+
+## Streaming Simple
+
+```python
+import gradio as gr
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            input_img = gr.Image(label="Input", sources="webcam")
+        with gr.Column():
+            output_img = gr.Image(label="Output")
+        input_img.stream(lambda s: s, input_img, output_img, time_limit=15, stream_every=0.1, concurrency_limit=30)
+
+if __name__ == "__main__":
+
+    demo.launch()
+```
+
+## Tabbed Interface Lite
+
+```python
+import gradio as gr
+
+hello_world = gr.Interface(lambda name: "Hello " + name, "text", "text", api_name="predict")
+bye_world = gr.Interface(lambda name: "Bye " + name, "text", "text", api_name="predict")
+chat = gr.ChatInterface(lambda *args: "Hello " + args[0], api_name="chat")
+
+demo = gr.TabbedInterface([hello_world, bye_world, chat], ["Hello World", "Bye World", "Chat"])
+
+demo.launch()
+```
+
+## Tax Calculator
+
+```python
+import gradio as gr
+
+def tax_calculator(income, marital_status, assets):
+    tax_brackets = [(10, 0), (25, 8), (60, 12), (120, 20), (250, 30)]
+    total_deductible = sum(cost for cost, deductible in zip(assets["Cost"], assets["Deductible"]) if deductible)
+    taxable_income = income - total_deductible
+
+    total_tax = 0
+    for bracket, rate in tax_brackets:
+        if taxable_income > bracket:
+            total_tax += (taxable_income - bracket) * rate / 100
+
+    if marital_status == "Married":
+        total_tax *= 0.75
+    elif marital_status == "Divorced":
+        total_tax *= 0.8
+
+    return round(total_tax)
+
+demo = gr.Interface(
+    tax_calculator,
+    [
+        "number",
+        gr.Radio(["Single", "Married", "Divorced"]),
+        gr.Dataframe(
+            headers=["Item", "Cost", "Deductible"],
+            datatype=["str", "number", "bool"],  
+            label="Assets Purchased this Year",
+        ),
+    ],
+    gr.Number(label="Tax due"),
+    examples=[
+        [10000, "Married", [["Suit", 5000, True], ["Laptop (for work)", 800, False], ["Car", 1800, True]]],
+        [80000, "Single", [["Suit", 800, True], ["Watch", 1800, True], ["Food", 800, True]]],
+    ],
+    live=True,
+    api_name="predict"
+)
+
+demo.launch()
+```
+
+## Timer Simple
+
+```python
+import gradio as gr
+import random
+import time
+
+with gr.Blocks() as demo:
+  timer = gr.Timer(1)
+  timestamp = gr.Number(label="Time")
+  timer.tick(lambda: round(time.time()), outputs=timestamp, api_name="timestamp")
+
+  number = gr.Number(lambda: random.randint(1, 10), every=timer, label="Random Number")
+  with gr.Row():
+    gr.Button("Start").click(lambda: gr.Timer(active=True), None, timer)
+    gr.Button("Stop").click(lambda: gr.Timer(active=False), None, timer)
+    gr.Button("Go Fast").click(lambda: 0.2, None, timer)
+
+if __name__ == "__main__":
+  demo.launch()
+```
+
+## Variable Outputs
+
+```python
+import gradio as gr
+
+max_textboxes = 10
+
+def variable_outputs(k):
+    k = int(k)
+    return [gr.Textbox(visible=True)]*k + [gr.Textbox(visible=False)]*(max_textboxes-k)
+
+with gr.Blocks() as demo:
+    s = gr.Slider(1, max_textboxes, value=max_textboxes, step=1, label="How many textboxes to show:")
+    textboxes = []
+    for i in range(max_textboxes):
+        t = gr.Textbox(f"Textbox {i}")
+        textboxes.append(t)
+
+    s.change(variable_outputs, s, textboxes)
+
+if __name__ == "__main__":
+   demo.launch()
+```
+
+## Video Identity
+
+```python
+import gradio as gr
+from gradio.media import get_video
+
+def video_identity(video):
+    return video
+
+# get_video() returns file paths to sample media included with Gradio
+demo = gr.Interface(video_identity,
+                    gr.Video(),
+                    "playable_video",
+                    examples=[
+                        get_video("world.mp4")
+                    ],
+                    cache_examples=True,
+                    api_name="predict",)
+
+demo.launch()
+```

.agents/skills/hf-cli/SKILL.md

@@ -0,0 +1,157 @@
+---
+name: hf-cli
+description: "Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing repositories, models, datasets, and Spaces on the Hugging Face Hub. Replaces now deprecated `huggingface-cli` command."
+---
+
+Install: `curl -LsSf https://hf.co/cli/install.sh | bash -s`.
+
+The Hugging Face Hub CLI tool `hf` is available. IMPORTANT: The `hf` command replaces the deprecated `huggingface-cli` command.
+
+Use `hf --help` to view available functions. Note that auth commands are now all under `hf auth` e.g. `hf auth whoami`.
+
+Generated with `huggingface_hub v1.6.0`. Run `hf skills add --force` to regenerate.
+
+## Commands
+
+- `hf download REPO_ID` — Download files from the Hub.
+- `hf env` — Print information about the environment.
+- `hf sync` — Sync files between local directory and a bucket.
+- `hf upload REPO_ID` — Upload a file or a folder to the Hub. Recommended for single-commit uploads.
+- `hf upload-large-folder REPO_ID LOCAL_PATH` — Upload a large folder to the Hub. Recommended for resumable uploads.
+- `hf version` — Print information about the hf version.
+
+### `hf auth` — Manage authentication (login, logout, etc.).
+
+- `hf auth list` — List all stored access tokens.
+- `hf auth login` — Login using a token from huggingface.co/settings/tokens.
+- `hf auth logout` — Logout from a specific token.
+- `hf auth switch` — Switch between access tokens.
+- `hf auth whoami` — Find out which huggingface.co account you are logged in as.
+
+### `hf buckets` — Commands to interact with buckets.
+
+- `hf buckets cp SRC` — Copy a single file to or from a bucket.
+- `hf buckets create BUCKET_ID` — Create a new bucket.
+- `hf buckets delete BUCKET_ID` — Delete a bucket.
+- `hf buckets info BUCKET_ID` — Get info about a bucket.
+- `hf buckets list` — List buckets or files in a bucket.
+- `hf buckets move FROM_ID TO_ID` — Move (rename) a bucket to a new name or namespace.
+- `hf buckets remove ARGUMENT` — Remove files from a bucket.
+- `hf buckets sync` — Sync files between local directory and a bucket.
+
+### `hf cache` — Manage local cache directory.
+
+- `hf cache ls` — List cached repositories or revisions.
+- `hf cache prune` — Remove detached revisions from the cache.
+- `hf cache rm TARGETS` — Remove cached repositories or revisions.
+- `hf cache verify REPO_ID` — Verify checksums for a single repo revision from cache or a local directory.
+
+### `hf collections` — Interact with collections on the Hub.
+
+- `hf collections add-item COLLECTION_SLUG ITEM_ID ITEM_TYPE` — Add an item to a collection.
+- `hf collections create TITLE` — Create a new collection on the Hub.
+- `hf collections delete COLLECTION_SLUG` — Delete a collection from the Hub.
+- `hf collections delete-item COLLECTION_SLUG ITEM_OBJECT_ID` — Delete an item from a collection.
+- `hf collections info COLLECTION_SLUG` — Get info about a collection on the Hub.
+- `hf collections ls` — List collections on the Hub.
+- `hf collections update COLLECTION_SLUG` — Update a collection's metadata on the Hub.
+- `hf collections update-item COLLECTION_SLUG ITEM_OBJECT_ID` — Update an item in a collection.
+
+### `hf datasets` — Interact with datasets on the Hub.
+
+- `hf datasets info DATASET_ID` — Get info about a dataset on the Hub.
+- `hf datasets ls` — List datasets on the Hub.
+- `hf datasets parquet DATASET_ID` — List parquet file URLs available for a dataset.
+- `hf datasets sql SQL` — Execute a raw SQL query with DuckDB against dataset parquet URLs.
+
+### `hf discussions` — Manage discussions and pull requests on the Hub.
+
+- `hf discussions close REPO_ID NUM` — Close a discussion or pull request.
+- `hf discussions comment REPO_ID NUM` — Comment on a discussion or pull request.
+- `hf discussions create REPO_ID title` — Create a new discussion or pull request on a repo.
+- `hf discussions diff REPO_ID NUM` — Show the diff of a pull request.
+- `hf discussions info REPO_ID NUM` — Get info about a discussion or pull request.
+- `hf discussions list REPO_ID` — List discussions and pull requests on a repo.
+- `hf discussions merge REPO_ID NUM` — Merge a pull request.
+- `hf discussions rename REPO_ID NUM NEW_TITLE` — Rename a discussion or pull request.
+- `hf discussions reopen REPO_ID NUM` — Reopen a closed discussion or pull request.
+
+### `hf endpoints` — Manage Hugging Face Inference Endpoints.
+
+- `hf endpoints catalog` — Interact with the Inference Endpoints catalog.
+- `hf endpoints delete NAME` — Delete an Inference Endpoint permanently.
+- `hf endpoints deploy NAME repo framework accelerator instance_size instance_type region vendor` — Deploy an Inference Endpoint from a Hub repository.
+- `hf endpoints describe NAME` — Get information about an existing endpoint.
+- `hf endpoints ls` — Lists all Inference Endpoints for the given namespace.
+- `hf endpoints pause NAME` — Pause an Inference Endpoint.
+- `hf endpoints resume NAME` — Resume an Inference Endpoint.
+- `hf endpoints scale-to-zero NAME` — Scale an Inference Endpoint to zero.
+- `hf endpoints update NAME` — Update an existing endpoint.
+
+### `hf extensions` — Manage hf CLI extensions.
+
+- `hf extensions exec NAME` — Execute an installed extension.
+- `hf extensions install REPO_ID` — Install an extension from a public GitHub repository.
+- `hf extensions list` — List installed extension commands.
+- `hf extensions remove NAME` — Remove an installed extension.
+
+### `hf jobs` — Run and manage Jobs on the Hub.
+
+- `hf jobs cancel JOB_ID` — Cancel a Job
+- `hf jobs hardware` — List available hardware options for Jobs
+- `hf jobs inspect JOB_IDS` — Display detailed information on one or more Jobs
+- `hf jobs logs JOB_ID` — Fetch the logs of a Job.
+- `hf jobs ps` — List Jobs.
+- `hf jobs run IMAGE COMMAND` — Run a Job.
+- `hf jobs scheduled` — Create and manage scheduled Jobs on the Hub.
+- `hf jobs stats` — Fetch the resource usage statistics and metrics of Jobs
+- `hf jobs uv` — Run UV scripts (Python with inline dependencies) on HF infrastructure.
+
+### `hf models` — Interact with models on the Hub.
+
+- `hf models info MODEL_ID` — Get info about a model on the Hub.
+- `hf models ls` — List models on the Hub.
+
+### `hf papers` — Interact with papers on the Hub.
+
+- `hf papers ls` — List daily papers on the Hub.
+
+### `hf repos` — Manage repos on the Hub.
+
+- `hf repos branch` — Manage branches for a repo on the Hub.
+- `hf repos create REPO_ID` — Create a new repo on the Hub.
+- `hf repos delete REPO_ID` — Delete a repo from the Hub. This is an irreversible operation.
+- `hf repos delete-files REPO_ID PATTERNS` — Delete files from a repo on the Hub.
+- `hf repos duplicate FROM_ID` — Duplicate a repo on the Hub (model, dataset, or Space).
+- `hf repos move FROM_ID TO_ID` — Move a repository from a namespace to another namespace.
+- `hf repos settings REPO_ID` — Update the settings of a repository.
+- `hf repos tag` — Manage tags for a repo on the Hub.
+
+### `hf skills` — Manage skills for AI assistants.
+
+- `hf skills add` — Download a skill and install it for an AI assistant.
+- `hf skills preview` — Print the generated SKILL.md to stdout.
+
+### `hf spaces` — Interact with spaces on the Hub.
+
+- `hf spaces dev-mode SPACE_ID` — Enable or disable dev mode on a Space.
+- `hf spaces hot-reload SPACE_ID` — Hot-reload any Python file of a Space without a full rebuild + restart.
+- `hf spaces info SPACE_ID` — Get info about a space on the Hub.
+- `hf spaces ls` — List spaces on the Hub.
+
+### `hf webhooks` — Manage webhooks on the Hub.
+
+- `hf webhooks create watch` — Create a new webhook.
+- `hf webhooks delete WEBHOOK_ID` — Delete a webhook permanently.
+- `hf webhooks disable WEBHOOK_ID` — Disable an active webhook.
+- `hf webhooks enable WEBHOOK_ID` — Enable a disabled webhook.
+- `hf webhooks info WEBHOOK_ID` — Show full details for a single webhook as JSON.
+- `hf webhooks list` — List all webhooks for the current user.
+- `hf webhooks update WEBHOOK_ID` — Update an existing webhook. Only provided options are changed.
+
+## Tips
+
+- Use `hf <command> --help` for full options, usage, and real-world examples
+- Use `--format json` for machine-readable output on list commands
+- Use `-q` / `--quiet` to print only IDs
+- Authenticate with `HF_TOKEN` env var (recommended) or with `--token`

.gitignore

@@ -0,0 +1,219 @@
+# Outputs
+outputs/
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[codz]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#   Usually these files are written by a python script from a template
+#   before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py.cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+# Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+# uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+# poetry.lock
+# poetry.toml
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#   pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
+#   https://pdm-project.org/en/latest/usage/project/#working-with-version-control
+# pdm.lock
+# pdm.toml
+.pdm-python
+.pdm-build/
+
+# pixi
+#   Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
+# pixi.lock
+#   Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
+#   in the .venv directory. It is recommended not to include this directory in version control.
+.pixi
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# Redis
+*.rdb
+*.aof
+*.pid
+
+# RabbitMQ
+mnesia/
+rabbitmq/
+rabbitmq-data/
+
+# ActiveMQ
+activemq-data/
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.envrc
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#   JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#   be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#   and can be added to the global gitignore or merged into this file.  For a more nuclear
+#   option (not recommended) you can uncomment the following to ignore the entire idea folder.
+# .idea/
+
+# Abstra
+#   Abstra is an AI-powered process automation framework.
+#   Ignore directories containing user credentials, local state, and settings.
+#   Learn more at https://abstra.io/docs
+.abstra/
+
+# Visual Studio Code
+#   Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore 
+#   that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
+#   and can be added to the global gitignore or merged into this file. However, if you prefer, 
+#   you could uncomment the following to ignore the entire vscode folder
+# .vscode/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc
+
+# Marimo
+marimo/_static/
+marimo/_lsp/
+__marimo__/
+
+# Streamlit
+.streamlit/secrets.toml

.python-version

@@ -0,0 +1 @@
+3.13

Makefile

@@ -0,0 +1,2 @@
+run:
+	conda run -n ml python app.py

README.md

@@ -1,12 +0,0 @@
----
-title: FastMedExtract
-emoji: 🏃
-colorFrom: indigo
-colorTo: purple
-sdk: gradio
-sdk_version: 6.9.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -7,13 +7,17 @@ model = GLiNER.from_pretrained("Ihor/gliner-biomed-base-v1.0")
 MAX_LABELS = 12
 
 PALETTE = [
-    "#FEF0C3", "#E8D5B7", "#F5E6CC", "#FFDDBE", "#D2E3FC", "#C8E6C9",
-    "#EADDFF", "#F9DEDC", "#B2DFDB", "#FFE0B2", "#F0F4C3", "#BBDEFB",
+    "#FF6B6B", "#4ECDC4", "#45B7D1", "#FFA07A", "#98D8C8", "#F7DC6F",
+    "#BB8FCE", "#85C1E9", "#F0B27A", "#76D7C4", "#F1948A", "#82E0AA",
 ]
 
 DEFAULT_LABELS = ["patient_name", "age", "sex", "symptom", "diagnosis", "medication", "vital_sign", "procedure"]
 
 
+def filter_choices(selected):
+    return gr.Dropdown(choices=[l for l in DEFAULT_LABELS if l not in selected])
+
+
 def extract(text, labels_list, threshold):
     labels = [l for l in labels_list if l][:MAX_LABELS]
     if not labels or not text.strip():
@@ -136,6 +140,7 @@ with gr.Blocks(title="GLiNER Biomedical NER") as demo:
             highlight_output = gr.HighlightedText(label="Entities", combine_adjacent=False, show_legend=True)
             table_output = gr.Dataframe(headers=["Label", "Text", "Score"], label="Extracted Entities")
 
+    labels_input.change(filter_choices, inputs=[labels_input], outputs=[labels_input])
     run_btn.click(extract, inputs=[text_input, labels_input, threshold], outputs=[highlight_output, table_output, latency_output])
     gr.Examples(EXAMPLES, inputs=[text_input, labels_input, threshold])
 

requirements.txt

@@ -1 +1,2 @@
-gliner
+gradio==6.9.0
+gliner==0.2.25

skills-lock.json

@@ -0,0 +1,10 @@
+{
+  "version": 1,
+  "skills": {
+    "hf-cli": {
+      "source": "huggingface/skills",
+      "sourceType": "github",
+      "computedHash": "0d20bb5d20960b7fdef4148f805a26a861a10e301c88261ca5f9614f63ed9494"
+    }
+  }
+}