app.py

import streamlit as st
from requests_html import HTMLSession
import pandas as pd
import langchain as lc
import openai
import os

# Set your OpenAI API key (ensure it's set securely in production)
os.environ["OPENAI_API_KEY"] = "your-api-key-here"

st.title("Cybersecurity Vulnerability Scanner & AI Analyzer")

# Initialize variables
links = []
js_files = []
forms = []

# Input URL for scraping
url = st.text_input("Enter the target URL:")

if st.button("Scrape and Scan"):
    if url:
        st.write(f"Processing {url}...")

        # Initialize an HTML session
        session = HTMLSession()
        response = session.get(url)

        # Attempt to render JavaScript content, if necessary
        try:
            response.html.render()
        except Exception as e:
            st.warning(f"JavaScript rendering failed: {e}")

        # Extract links, JavaScript files, and forms from the page
        links = [link.attrs['href'] for link in response.html.find('a') if 'href' in link.attrs]
        js_files = [script.attrs['src'] for script in response.html.find('script') if 'src' in script.attrs]
        forms = [form.attrs.get('action', 'No action') for form in response.html.find('form')]

        # Display extracted data
        st.success("Scraping and scanning complete!")
        st.write("Links:", links)
        st.write("JavaScript Files:", js_files)
        st.write("Forms:", forms)
    else:
        st.warning("Please enter a valid URL.")

# AI-based analysis section
user_prompt = st.text_area("Enter an AI prompt for analysis:")
if st.button("Analyze with AI"):
    if user_prompt:
        # Initialize LangChain with OpenAI LLM for AI analysis
        llm = lc.LLMChain(llm=lc.OpenAI())
        full_prompt = f"{user_prompt}\nLinks:\n{links}\nJS Files:\n{js_files}\nForms:\n{forms}"
        
        # Run the AI analysis
        try:
            ai_analysis = llm.run(full_prompt)
            st.write("AI Analysis:")
            st.write(ai_analysis)
        except Exception as e:
            st.error(f"AI analysis failed: {e}")
    else:
        st.warning("Please provide an AI prompt for analysis.")