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import gradio as gr
from funcs.processor import process_data
from funcs.plot_func import plot_sensor_data_from_json
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():
slice_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():
window_size_slider = gr.inputs.Slider(0, 100, 2, 10, label="Window Size")
repeat_process = gr.Button('Restart process')
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")
with gr.Row():
slice_slider = gr.Slider(minimum=1, maximum=300, label='Current slice', step=1)
with gr.Row():
plot_slice_leg = gr.Plot(label="Sliced Signal Plot")
get_real_slice = gr.Plot(label="Real Signal Plot")
with gr.Row():
animation = gr.PlayableVideo(label="Animated horse steps")
slices_per_leg = gr.Textbox(label="Number of slices found per LEG")
csv_file_box.change(process_data, inputs=[csv_file_box, slice_size_slider, sample_rate, window_size_slider], outputs=[processed_file_box, json_file_box, slices_per_leg, plot_box_leg, plot_box_overlay, slice_slider, plot_slice_leg, get_real_slice])
leg_dropdown.change(plot_sensor_data_from_json, inputs=[json_file_box, leg_dropdown, slice_slider], outputs=[plot_box_leg, plot_slice_leg, get_real_slice])
repeat_process.click(process_data, inputs=[csv_file_box, slice_size_slider, sample_rate, window_size_slider], outputs=[processed_file_box, json_file_box, slices_per_leg, plot_box_leg, plot_box_overlay, slice_slider, plot_slice_leg, get_real_slice])
slice_slider.change(plot_sensor_data_from_json, inputs=[json_file_box, leg_dropdown, slice_slider], outputs=[plot_box_leg, plot_slice_leg, get_real_slice])
cabasus_sensor.queue(concurrency_count=2).launch(debug=True)
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