# Import required libraries
import streamlit as st
import pandas as pd

def main():
    # Application title
    st.title("Vulnerability Management Dashboard")

    # File uploader allows user to add their own CSV
    uploaded_file = st.file_uploader("Upload your vulnerability scan result (CSV format)", type="csv")

    if uploaded_file is not None:
        # Use pandas to read the CSV file
        df = pd.read_csv(uploaded_file)

        # Display the DataFrame. This could be replaced with a more sophisticated approach.
        st.dataframe(df)

        # Example: Display vulnerabilities by severity if your CSV contains a 'Severity' column
        if 'Severity' in df.columns:
            st.subheader("Vulnerabilities by Severity")
            severity_count = df['Severity'].value_counts()
            st.bar_chart(severity_count)

        # Add more features like filtering based on columns, detailed analysis, etc.

if __name__ == "__main__":
    main()