app.py

import gradio as gr

from funcs.processor import process_data
from funcs.plot_func import plot_sensor_data_from_json

filename= 'Data/data/canter/normal/don/20220222-114107-Don-canter right 25steps.txt'

with gr.Blocks(title='Cabasus') as cabasus_sensor:
    title = gr.Markdown("<h2><center>Data gathering and processing</center></h2>")
    with gr.Tab("Convert"):
        csv_file_box = gr.File(label='Upload CSV File') 
        with gr.Row():
            processed_file_box = gr.File(label='Processed CSV File') 
            json_file_box = gr.File(label='Generated Json file') 
        with gr.Row():
            window_size_slider = gr.inputs.Slider(16, 512, 1, 64, label="Slice Size")
            sample_rate = gr.inputs.Slider(1, 199, 1, 20, label="Sample rate")        
        with gr.Row():
            leg_dropdown = gr.Dropdown(choices=['GZ1', 'GZ2', 'GZ3', 'GZ4'], label='select leg', value='GZ1')
                    
        with gr.Row():
            plot_box_leg = gr.Plot(label="Filtered Signal Plot")
            plot_box_overlay = gr.Plot(label="Overlay Signal Plot")
        
        slices_per_leg = gr.Textbox(label="Number of slices found per LEG")
        
        try:
            example = gr.Examples(examples=filename, inputs=[csv_file_box])
        except:
            pass
        
        csv_file_box.change(process_data, inputs=[csv_file_box, window_size_slider, sample_rate], outputs=[processed_file_box, json_file_box, slices_per_leg, plot_box_leg, plot_box_overlay])
        leg_dropdown.change(plot_sensor_data_from_json, inputs=[json_file_box, leg_dropdown], outputs=[plot_box_leg])

cabasus_sensor.queue(concurrency_count=2).launch(debug=True)