test 4s csv

test_4s_csv.py

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+import utils
+import gradio as gr
+import numpy as np
+
+def test(4s_csv_file):
+    data_noise = utils.read_train_data(4s_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()