import utils
import gradio as gr
import numpy as np

def test(csv_file):
    data_noise = utils.read_train_data(csv_file)
    
    std = np.std(data_noise)
    avg = np.average(data_noise)

    d_data = utils.decode_data(data_noise, std, "EEGART")
    d_data = d_data[0]

    #utils.save_data(d_data, "./test_EEGART_4s.csv")

    return d_data

app = gr.Interface(fn=test,
                   inputs=gr.File(label="CSV file"),
                   outputs=gr.DataFrame(label="result"))

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