Update app.py
Browse files
app.py
CHANGED
@@ -10,6 +10,17 @@ from misc import *
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import streamlit as st
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# Create two columns with st.columns (new way)
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col1, col2 = st.columns(2)
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import streamlit as st
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# Add the title and instructions
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st.title("EEG Classification Demo")
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st.write("""
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This demo allows you to upload an EEG recording file in the EDF format.
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The model will process your uploaded file and predict whether the EEG signal is classified as **Normal** or **Abnormal**.
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Please follow the steps below to get started:
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1. Upload your recorded EEG file (in .edf format).
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2. The system will preprocess the data and make a prediction based on the signal.
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3. Check the result to see the classification outcome.
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""")
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# Create two columns with st.columns (new way)
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col1, col2 = st.columns(2)
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