Create app.py

app.py

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+import gradio as gr
+import requests
+from bs4 import BeautifulSoup
+
+def scan_terms(url):
+    if not url:
+        return "Please enter a URL.", "GRAY"
+    
+    try:
+        headers = {'User-Agent': 'Mozilla/5.0'}
+        response = requests.get(url, headers=headers, timeout=10)
+        soup = BeautifulSoup(response.text, 'html.parser')
+        text = soup.get_text().lower()
+        
+        # Risk Keywords
+        red_flags = [
+            "perpetual license", 
+            "irrevocable license", 
+            "right to use", 
+            "train our models",
+            "improve our services",
+            "royalty-free",
+            "worldwide license"
+        ]
+        
+        found_flags = [phrase for phrase in red_flags if phrase in text]
+        
+        if len(found_flags) > 0:
+            return f"🚨 HIGH RISK DETECTED\n\nWe found clauses that may grant the vendor rights to your data:\n" + "\n".join([f"- '{f}'" for f in found_flags]), "RED"
+        else:
+            return "✅ NO OBVIOUS RED FLAGS FOUND\n\n(Note: This is an automated scan, not legal advice. Always review the full contract.)", "GREEN"
+
+    except Exception as e:
+        return f"Error scanning URL: {str(e)}", "GRAY"
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 📜 AI Liability Scanner")
+    gr.Markdown("Paste a Vendor's 'Terms of Service' URL to scan for clauses that grant them the right to train on your data.")
+    
+    url_input = gr.Textbox(label="Terms of Service URL", placeholder="https://openai.com/policies/terms")
+    scan_btn = gr.Button("Scan Contract", variant="primary")
+    output_box = gr.Textbox(label="Risk Assessment")
+    
+    scan_btn.click(scan_terms, inputs=url_input, outputs=output_box)
+
+demo.launch()