app.py

import math

import pandas as pd

import gradio as gr
import datetime
import numpy as np


def get_time():
    return datetime.datetime.now()


plot_end_1 = 2 * math.pi
plot_end_2 = 2 * math.pi
plot_end_3 = 2 * math.pi


def get_plot_v1(period_v1=1,xscale_v1 = 1,yscale_v1 = 1):
    global plot_end_1
    x = np.arange(plot_end_1 - 2 * math.pi, plot_end_1, 0.02)
    #y = np.sin(2 * math.pi * period_v1 * x)
    y = 2.02
    vMean = 2.02
    vPp = 0
    #y = np.float64(0.5)   
    update = gr.LinePlot.update(
        value=pd.DataFrame({"x": x, "y": y}),
        x="x",
        y="y",
        title= f"V mean = {vMean},Vpp = {vPp}" ,
        width=500,
        height=350,
        y_lim= [ -4,4],
        y_title = 'V'
    )
    plot_end_1 += 2 * math.pi
    if plot_end_1 > 1000:
        plot_end_1 = 2 * math.pi
    return update

def get_plot_i1(period_i1=1,xscale_i1 = 1,yscale_i1 = 1):
    global plot_end_2
    x = np.arange(plot_end_2 - 2 * math.pi, plot_end_2, 0.02)
    #y = np.sin(2 * math.pi * period_i1 * x)
    #y = 0
    iMean = 0
    iPp = 0
    y = np.float64(0)   
    update = gr.LinePlot.update(
        value=pd.DataFrame({"x": x, "y": y}),
        x="x",
        y="y",
        title= f"I mean = {iMean},Ipp = {iPp}" ,
        width=500,
        height=350,
        y_lim= [ -100,100],
        y_title = 'mA'
    )
    plot_end_2 += 2 * math.pi
    if plot_end_2 > 1000:
        plot_end_2 = 2 * math.pi
    return update

def get_plot_3(period_3=1,xscale_3 = 1,yscale_3 = 1):
    global plot_end_3
    x = np.arange(plot_end_3 - 2 * math.pi, plot_end_3, 0.02)
    y = 0
    #y = np.sin(2 * math.pi * period_3 * x)
    xMean = 0
    xPp = 0
    #y = np.float64(0.5)   
    update = gr.LinePlot.update(
        value=pd.DataFrame({"x": x, "y": y}),
        x="x",
        y="y",
        title= f" Mean Value = {xMean}, PP value = {xPp}" ,
        width=600,
        height=350,
        y_lim= [ -4,4],
        y_title = 'V'
    )
    plot_end_3 += 2 * math.pi
    if plot_end_3 > 1000:
        plot_end_3 = 2 * math.pi
    return update


with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():
            gr.Textbox(
                "Voltage Channel 1",
                label="",
            )
            period_v1 = gr.Slider(
                label="Period of plot", value=1, minimum=0, maximum=10, step=1
            )
            xscale_v1 = gr.Slider(
                label="xscale", value=1, minimum=0, maximum=10, step=1
            )
            yscale_v1 = gr.Slider(
                label="yscale", value=1, minimum=0, maximum=10, step=1
            )

            plot_v1 = gr.LinePlot(show_label= False )

        with gr.Column():
            gr.Textbox(
                "Current Channel 1",
                label="",
            )
            period_i1 = gr.Slider(
                label="Period of plot", value=1, minimum=0, maximum=10, step=1
            )
            xscale_i1 = gr.Slider(
                label="xscale", value=1, minimum=0, maximum=10, step=1
            )
            yscale_i1 = gr.Slider(
                label="yscale", value=1, minimum=0, maximum=10, step=1
            )

            plot_i1 = gr.LinePlot(show_label= False )

    with gr.Row():
        with gr.Column():
            #gr.inputs.Toggle(default=False, label="Select option A or B")
            gr.Dropdown(
             ["Voltage Channel 2","Current channel 2"], type = "index", multiselect= False, label="Select I or V")
            # gr.Textbox(
            #     "I/V Channel 2",
            #     label="",
            # )
            period_3 = gr.Slider(
                label="Period of plot", value=1, minimum=0, maximum=10, step=1
            )
            xscale_3 = gr.Slider(
                label="xscale", value=1, minimum=0, maximum=10, step=1
            )
            yscale_3 = gr.Slider(
                label="yscale", value=1, minimum=0, maximum=10, step=1
            )

            plot_3 = gr.LinePlot(show_label= False )

 
    demo.load(lambda: datetime.datetime.now(), None, every=1)
    dep1 = demo.load(get_plot_i1, None, plot_i1, every=1)
    period_i1.change(get_plot_i1, period_i1, plot_i1, every=1, cancels=[dep1])
    xscale_i1.change(get_plot_i1, xscale_i1, plot_i1, every=1, cancels=[dep1])
    yscale_i1.change(get_plot_i1, yscale_i1, plot_i1, every=1, cancels=[dep1])


    demo.load(lambda: datetime.datetime.now(), None, every=1)
    dep = demo.load(get_plot_v1, None, plot_v1, every=1)
    period_v1.change(get_plot_v1, period_v1, plot_v1, every=1, cancels=[dep])
    xscale_v1.change(get_plot_v1, xscale_v1, plot_v1, every=1, cancels=[dep])
    yscale_v1.change(get_plot_v1, yscale_v1, plot_v1, every=1, cancels=[dep])

    demo.load(lambda: datetime.datetime.now(), None, every=1)
    dep2 = demo.load(get_plot_3, None, plot_3, every=1)
    period_3.change(get_plot_3, period_3, plot_3, every=1, cancels=[dep2])
    xscale_3.change(get_plot_3, xscale_3, plot_3, every=1, cancels=[dep2])
    yscale_3.change(get_plot_3, yscale_3, plot_3, every=1, cancels=[dep2])

if __name__ == "__main__":
    demo.queue().launch(debug = True)