app.py

# Import libraries
import streamlit as st
import mne
import matplotlib.pyplot as plt

# Load the edf file
edf_file = st.file_uploader("Upload an EEG edf file", type="edf")
if edf_file is not None:
    raw = mne.io.read_raw_edf(edf_file)
    st.write(f"Loaded {edf_file.name} with {raw.info['nchan']} channels")

    # Select the first channel
    channel = raw.ch_names[0]
    st.write(f"Selected channel: {channel}")

    # Plot the first channel
    fig, ax = plt.subplots()
    ax.plot(raw.times, raw[channel][0].T)
    ax.set_xlabel("Time (s)")
    ax.set_ylabel("Amplitude (µV)")
    ax.set_title(f"EEG signal of {channel}")
    st.pyplot(fig)