Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import subprocess
+
+# Create the data
+data = {
+    "Reference": ["Motlagh et al.", "Divakaran et al.", "Yao et al.", "Yigit et al.", "Coelho et al.", "Novelli et al.", "LLM4Security"],
+    "Year": [2024, 2024, 2023, 2024, 2024, 2024, 2024],
+    "Scope": ["Security application", "Security application", "Security application, Security of LLM", "Security application, Security of LLM", "Security application", "Security application", "Security application"],
+    "Dimensions": ["Task", "Task", "Model, Task", "Task", "Task, Domain specific technique", "Task, Model, Domain specific technique", "Model, Task, Domain specific technique, Data"],
+    "Time frame": ["2022-2023", "2020-2024", "2019-2024", "2020-2024", "2021-2023", "2020-2024", "2020-2024"],
+    "Papers": ["Not specified", "Not specified", 281, "Not specified", 19, "Not specified", 127]
+}
+
+# Streamlit UI
+st.title("🔒 LLMs for Cyber Security: State-of-the-Art Surveys")
+st.write("This app is based on the paper: [Large Language Models for Cyber Security](https://arxiv.org/pdf/2405.04760v3). It showcases LLMs in the cybersecurity landscape.")
+
+# Display the table
+df = pd.DataFrame(data)
+st.write(df)
+
+# Mermaid graph visualization for LLM in security
+mermaid_code = '''
+graph TD;
+    A[LLMs in Security] --> B[Security Application]
+    B --> C[Task]
+    B --> D[Model]
+    D --> E[Domain-Specific Techniques]
+    E --> F[Data]
+'''
+
+st.subheader("🛡️ Security Model Visualization with Mermaid")
+st.markdown(f"```mermaid\n{mermaid_code}\n```")
+
+# Scrollable content for additional insights
+st.markdown("""
+<style>
+    .scrollable-content {
+        height: 200px;
+        overflow-y: scroll;
+    }
+</style>
+<div class="scrollable-content">
+    <h3>Scroll Through for More Insights:</h3>
+    <ul>
+        <li>2022-2023: Not specified by Motlagh et al.</li>
+        <li>2020-2024: Yigit and Divakaran focusing on tasks and models.</li>
+        <li>Coelho introduces domain-specific techniques from 2021 to 2023.</li>
+    </ul>
+</div>
+""", unsafe_allow_html=True)
+
+# Simulate running a security audit using pip-audit
+st.subheader("🔍 Run Python Dependency Security Audit")
+
+# Define a button for auditing
+if st.button('Run pip-audit for Security Check'):
+    with st.spinner('Running security audit...'):
+        result = subprocess.run(['pip-audit'], capture_output=True, text=True)
+        st.code(result.stdout)
+
+# AI Tips for Reducing Security Risks with Pair Programming
+st.subheader("🤖 AI Pair Programming: Security Recommendations")
+st.markdown("""
+- **Reduce Code Complexity**: AI can recommend code simplification strategies.
+- **Minimize Attack Surface**: AI can simulate attacks and highlight vulnerable points.
+- **Automate Security Scans**: Use tools like `pip-audit` for continuous CVE checks.
+""")
+
+# Add Azure deployment details (not operational in this demo)
+st.subheader("Azure Deployment Information")
+st.write("""
+- **Azure Container Apps**: Easily deploy and scale your app with Azure Container Apps.
+- **Azure Container Registry**: Store and manage container images.
+- **Cosmos DB**: Use Cosmos DB to store security audit results and logs.
+""")