gradio-msaplot 0.0.1

MSAplot is customizable panels for plotting MSA, seqlogo, annotation, and consensus histograms.

---

tags: [gradio-custom-component, Plot, med, medicine, bio, biology, chem, chemistry, MSA, multiple sequence alignment, seqlogo, annotation, consensus histogram, visualize] title: gradio_msaplot short_description: MSAplot is customizable panels for plotting MSA. colorFrom: blue colorTo: yellow sdk: gradio pinned: false app_file: demo/space.py

gradio_msaplot

MSAplot is customizable panels for plotting MSA, seqlogo, annotation, and consensus histograms.

Installation

pip install gradio_msaplot

Usage

import gradio as gr
from gradio_msaplot import MSAPlot, MSAPlotData
import matplotlib
matplotlib.use('Agg')

example = MSAPlot().example_value()

with gr.Blocks() as demo:
    with gr.Row():
        MSAPlot(label="Blank"),  # blank component
        MSAPlot(value=example, label="Populated"),  # populated component


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

MSAPlot

Initialization

name	type	default	description
value	typing.Any | None	None	None
label	str | None	None	None
every	float | None	None	None
show_label	bool | None	None	None
container	bool	True	None
scale	int | None	None	None
min_width	int	160	None
visible	bool	True	None
elem_id	str | None	None	None
elem_classes	list[str] | str | None	None	None
render	bool	True	None
key	int | str | None	None	None

Events

name	description
change	Triggered when the value of the MSAPlot 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.
clear	Triggered when the plot is cleared.

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: MSAPlotData | None
) -> MSAPlotData:
    return value

MSAPlotData

Initialization

name	type	default	description
data	typing.Any	None	None