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gradio_calendar

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Gradio component for selecting dates with a calendar 📆

Installation

pip install gradio_calendar

Usage

import gradio as gr
from gradio_calendar import Calendar
import datetime

def is_weekday(date: datetime.datetime):
    return date.weekday() < 5

demo = gr.Interface(is_weekday, 
    [Calendar(type="datetime", label="Select a date", info="Click the calendar icon to bring up the calendar.")], 
    gr.Label(label="Is it a weekday?"),
    examples=["2023-01-01", "2023-12-11"],
    cache_examples=True,
    title="Is it a weekday?")

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

Calendar

Initialization

name type default description
value
str | datetime.datetime
None None
type
"string" | "datetime"
"datetime" None
label
str | None
None None
info
str | None
None None
show_label
bool | None
None None
container
bool
True None
scale
int | None
None None
min_width
int | None
None None
interactive
bool | None
None None
visible
bool
True None
elem_id
str | None
None None
elem_classes
list[str] | str | None
None None
render
bool
True None
load_fn
typing.Optional[typing.Callable[..., typing.Any]][
    typing.Callable[..., typing.Any][Ellipsis, typing.Any],
    None,
]
None None
every
float | None
None None

Events

name description
change
input
submit

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: str | datetime.datetime | None
) -> str | datetime.datetime | None:
    return value

Metadata

Release files for gradio-calendar 0.0.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gradio-calendar 0.0.6
File Size Uploaded
gradio_calendar-0.0.6.tar.gz 1.2 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for gradio-calendar 0.0.6
File Interpreter ABI Platform
gradio_calendar-0.0.6-py3-none-any.whl Python 3 none any Details

Total release size: 2.4 MB

Release files / gradio_calendar-0.0.6.tar.gz

Download URL gradio_calendar-0.0.6.tar.gz
Size 1.2 MB
Tags Source
SHA-256 checksum
How to use checksums
728addfc07c350d46b69459447eb1e390d87ada0ddaed3457bd78da480eca2ec
BLAKE2b-256 checksum
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474a2103583da86778756f8b34de1054d08aba68728ed61a8708ed87c1f3ed17
Upload date
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What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.5

Release files / gradio_calendar-0.0.6-py3-none-any.whl

Download URL gradio_calendar-0.0.6-py3-none-any.whl
Size 1.2 MB
Tags Python 3
SHA-256 checksum
How to use checksums
2431b84ee2228be96770e907a478a4724cc36cc970a10e2b4209c85aa2373e2c
BLAKE2b-256 checksum
How to use checksums
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Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.5

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This release

0.0.6 This release

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0.0.3

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0.0.2

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0.0.1

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