Create app.py

app.py

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+# 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()