Update app.py

app.py

@@ -1,16 +1,5 @@
+from requests_html import HTMLSession
 import streamlit as st
-from selenium import webdriver
-from selenium.webdriver.chrome.service import Service
-from selenium.webdriver.common.by import By
-import pandas as pd
-import langchain as lc
-import openai
-
-# Configure WebDriver path (locally; use custom Docker setup for Spaces)
-# service = Service('/path/to/chromedriver')
-# options = webdriver.ChromeOptions()
-# options.add_argument("--headless")
-# driver = webdriver.Chrome(service=service, options=options)
 
 st.title("Cybersecurity Vulnerability Scanner & AI Analyzer")
 
@@ -18,28 +7,18 @@ url = st.text_input("Enter the target URL:")
 if st.button("Scrape and Scan"):
     if url:
         st.write(f"Processing {url}...")
+        session = HTMLSession()
+        response = session.get(url)
+        response.html.render()  # Render JavaScript if needed
+
         # Example data structure for scanned elements
-        scraped_data = {
-            "links": ["http://example.com/link1", "http://example.com/link2"],
-            "js_files": ["http://example.com/script1.js", "http://example.com/script2.js"],
-            "forms": ["http://example.com/form_action1", "http://example.com/form_action2"]
-        }
-        st.success("Scraping and scanning complete!")
-        st.write("Links:", scraped_data["links"])
-        st.write("JavaScript Files:", scraped_data["js_files"])
-        st.write("Forms:", scraped_data["forms"])
-    else:
-        st.warning("Please enter a valid URL.")
+        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')]
 
-# AI-based Analysis Section
-user_prompt = st.text_area("Enter an AI prompt for analysis:")
-if st.button("Analyze with AI"):
-    if user_prompt:
-        # Example of LangChain or OpenAI for analysis
-        llm = lc.LLMChain(llm=lc.OpenAI())
-        full_prompt = f"{user_prompt}\nLinks:\n{scraped_data['links']}\nJS Files:\n{scraped_data['js_files']}\nForms:\n{scraped_data['forms']}"
-        ai_analysis = llm.run(full_prompt)
-        st.write("AI Analysis:")
-        st.write(ai_analysis)
+        st.success("Scraping and scanning complete!")
+        st.write("Links:", links)
+        st.write("JavaScript Files:", js_files)
+        st.write("Forms:", forms)
     else:
-        st.warning("Please provide an AI prompt for analysis.")
+        st.warning("Please enter a