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Blocks-Backend-Components-v2

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- docstring updates
This commit is contained in:
Ömer Faruk Özdemir 2022-03-22 17:31:32 +03:00
parent 5d0d875055
commit ba6ec35406
1 changed files with 2 additions and 4 deletions
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6
gradio/components.py
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@ -222,8 +222,6 @@ class Textbox(Component):
lines (int): number of line rows to provide in textarea.
placeholder (str): placeholder hint to provide behind textarea.
label (str): component name in interface.
numeric (bool): DEPRECATED.
type (str): DEPRECATED.
"""
if "numeric" in kwargs:
warnings.warn(
@ -943,7 +941,7 @@ class Image(Component):
invert_colors (bool): whether to invert the image as a preprocessing step.
source (str): Source of image. "upload" creates a box where user can drop an image file, "webcam" allows user to take snapshot from their webcam, "canvas" defaults to a white image that can be edited and drawn upon with tools.
tool (str): Tools used for editing. "editor" allows a full screen editor, "select" provides a cropping and zoom tool.
type (str): Input Type of value to be returned by component. "numpy" returns a numpy array with shape (width, height, 3) and values from 0 to 255, "pil" returns a PIL image object, "file" returns a temporary file object whose path can be retrieved by file_obj.name, "filepath" returns the path directly.
type (str): The format the image is converted to before being passed into the prediction function. "numpy" converts the image to a numpy array with shape (width, height, 3) and values from 0 to 255, "pil" converts the image to a PIL image object, "file" produces a temporary file object whose path can be retrieved by file_obj.name, "filepath" returns the path directly.
label (str): component name in interface.
"""
if "plot" in kwargs:
@ -1349,7 +1347,7 @@ class Audio(Component):
Parameters:
default_value (str): IGNORED
source (str): Source of audio. "upload" creates a box where user can drop an audio file, "microphone" creates a microphone input.
type (str): Input type. Type of value to be returned by component. "numpy" returns a 2-set tuple with an integer sample_rate and the data numpy.array of shape (samples, 2), "file" returns a temporary file object whose path can be retrieved by file_obj.name, "filepath" returns the path directly.
type (str): The format the image is converted to before being passed into the prediction function. "numpy" converts the image to a numpy array with shape (width, height, 3) and values from 0 to 255, "pil" converts the image to a PIL image object, "file" produces a temporary file object whose path can be retrieved by file_obj.name, "filepath" returns the path directly.
label (str): component name in interface.
"""
self.source = source