Create app.py

app.py

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+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")
+
+url = st.text_input("Enter the target URL:")
+if st.button("Scrape and Scan"):
+    if url:
+        st.write(f"Processing {url}...")
+        # 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.")
+
+# 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)
+    else:
+        st.warning("Please provide an AI prompt for analysis.")