Skip to main content

A Gradio custom component to help you label text snippets inline

Project description


tags: [gradio-custom-component, TextLabeler] title: gradio_textlabeler short_description: A Gradio custom component to help you label text snippets colorFrom: blue colorTo: yellow sdk: gradio pinned: false app_file: space.py

gradio_textlabeler

PyPI - Version Static Badge

A Gradio custom component to help you label text snippets inline

Installation

pip install gradio_textlabeler

Usage

from gradio_textlabeler.textlabeler import TextLabelerData
import gradio as gr
from gradio_textlabeler import TextLabeler


with gr.Blocks() as demo:
    gr.Markdown("Label the tweets as positive, negative, or neutral and click on Submit Labels")
    inp = TextLabeler(
        label="Label these tweets",
        info="Label the tweets as positive, negative, or neutral.",
        label_choices=["Positive", "Negative", "Neutral"],
        value=[
            {"text": "I am extremely mad", "label": "Negative"},
            {
                "text": "This product is the next best thing since sliced bread",
                "label": "Positive",
            },
            {"text": "I don't know how I feel about this", "label": None},
            {"text": "The weather is nice today", "label": None},
            {"text": "I love this song", "label": "Positive"},
            {"text": "I'm not sure what to think", "label": None},
        ],
        allow_duplicate_labels=True,
        unlabelled_value_display="No Label",
        text_column_width="60%",
        text_column_header="Tweet",
        label_column_header="Sentiment",
    )   
    btn = gr.Button("Submit Labels")
    out = TextLabeler(label="Label output example")
   
    btn.click(fn=lambda x:x, inputs=inp, outputs=out)


if __name__ == "__main__":
    demo.launch()

TextLabeler

Initialization

name type default description
label_choices
list[str] | None
None None
value
list[LabeledValue] | None
None Set of text-label pairs in the form of LabeledValues. If a "text" is intentionally not labeled, the "label" should be set to None.
allow_duplicate_labels
bool
False If True, allows the same label to be used for multiple text entries.
unlabelled_value_display
str
"Unlabeled" The label to display for text entries that are not labeled.
text_column_header
str
"Text" The header to display for the text column.
label_column_header
str
"Label" The header to display for the label column.
text_column_width
str
"60%" The width of the text column.
label
str | None
None component name in interface.
info
str | None
None additional component description.
every
float | None
None If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute.
show_label
bool | None
None if True, will display the component label.
scale
int | None
None relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.
min_width
int
160 minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
interactive
bool | None
None if True, choices in this dropdown will be selectable; if False, selection will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.
visible
bool
True If False, component will be hidden.
elem_id
str | None
None An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
elem_classes
list[str] | str | None
None An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.
render
bool
True If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.
key
int | str | None
None if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved.

Events

name description
change Triggered when the value of the TextLabeler changes either because of user input (e.g. a user types in a textbox) OR because of a function update (e.g. an image receives a value from the output of an event trigger). See .input() for a listener that is only triggered by user input.
submit This listener is triggered when the user presses the Enter key while the TextLabeler is focused.

User function

The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).

  • When used as an Input, the component only impacts the input signature of the user function.
  • When used as an output, the component only impacts the return signature of the user function.

The code snippet below is accurate in cases where the component is used as both an input and an output.

  • As output: Is passed, the preprocessed input data sent to the user's function in the backend.
  • As input: Should return, the output data received by the component from the user's function in the backend.
def predict(
    value: TextLabelerData
) -> TextLabelerData:
    return value

LabeledValue

class LabeledValue(BaseModel):
    text: str
    label: str | None

TextLabelerData

class TextLabelerData(GradioRootModel):
    root: List[LabeledValue]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gradio_textlabeler-1.0.2.tar.gz (73.2 kB view details)

Uploaded Source

Built Distribution

gradio_textlabeler-1.0.2-py3-none-any.whl (33.3 kB view details)

Uploaded Python 3

File details

Details for the file gradio_textlabeler-1.0.2.tar.gz.

File metadata

  • Download URL: gradio_textlabeler-1.0.2.tar.gz
  • Upload date:
  • Size: 73.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for gradio_textlabeler-1.0.2.tar.gz
Algorithm Hash digest
SHA256 38768668ba1004bcc21a2301d032b27d0cfe641b6d41a5787bff30a53ea4fc56
MD5 5c389880f711a44a6ef2143c9d424a0b
BLAKE2b-256 76de675b99d5d27938b338d61e47ad3a74036608f94974407fd4fb6313f3480a

See more details on using hashes here.

File details

Details for the file gradio_textlabeler-1.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for gradio_textlabeler-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 028e71955894114b7e429bc671ef0b86727a117f503343adb27c13e77c9f8350
MD5 0c9f02ba9a16fddcb0bdc63042330f17
BLAKE2b-256 f7e513315e7b9d9acb7d7bdb2af4b988f0464fa63bd6b3b1c68108e752c98395

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page