update

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from blindbox.requests import SecureSession
 
 DEMO_SERVER = "4.208.9.167:80"
-text = "<h1 style='text-align: center; color: white;'>🎅 SantaCoder with <span style='color: #f0ba2d;'>BlindBox:</span> Confidential Coding Assistant</h1><p style='text-align: left; color: white;'>This is a demo to show what Zero Trust LLM usage looks like for the use case of Confidential Coding Assistant.</p><p style='text-align: left; color: white;'>Here we can leverage a remotely hosted SantaCoder, a state-of-the-art code completion LLM, inside a secure enclave, which ensures code sent for completion is not exposed to anyone else, including us, thanks to end-to-end protection! Therefore LLMs can be leveraged easily to help boost productivity without worrying about IP exposure.</p><p style='text-align: left; color: white;'>To learn more about how data is secured, you can find out more in our <a style='color: #f0ba2d; href='https://blindbox.mithrilsecurity.io/en/latest/'>docs</a>.</p><p style='text-align: left; color: white;'>You can see how we deployed SantaCoder with an Azure Confidential VM by checking out the relevant <a style='color: #f0ba2d;', href='https://blindbox.mithrilsecurity.io/en/latest/docs/how-to-guides/santacoder/'>integration guide</a> in our docs.</p><p style='text-align: left; color: white;'>⚠️ <a style='color: #f0ba2d;', href='https://github.com/mithril-security/blindbox'/>BlindBox</a> is still under development. We have implemented attestation and deployment on Confidential VMs, but we recommend not to send production data on this demo yet.</p><p style='text-align: left; color: white;>If you are interested in pentesting, improving security or knowing more about Confidential LLMs, <a a style='color: #f0ba2d;', href='https://www.mithrilsecurity.io/contact'>reach out to us!</a></p>"
+text = "<h1 style='text-align: center; color: white; font-size: 30px;'>🎅 SantaCoder with <span style='color: #f0ba2d;'>BlindBox:</span> Confidential Coding Assistant</h1><p style='text-align: left; color: white; font-size: 18px;'></br>This is a demo to show what Zero Trust LLM usage looks like for the use case of Confidential Coding Assistant.</p><p style='text-align: left; color: white; font-size: 18px;'>Here we can leverage a remotely hosted <a style='color: #f0ba2d'; href='https://huggingface.co/bigcode/santacoder#training'>SantaCoder</a>, a state-of-the-art code completion LLM, inside a secure enclave, which ensures code sent for completion is not exposed to anyone else, including us, thanks to end-to-end protection! Therefore LLMs can be leveraged easily to help boost productivity without worrying about IP exposure.</p><p style='text-align: left; color: white; font-size: 18px;'>To learn more about how data is secured, you can find out more in our <a style='color: #f0ba2d'; href='https://blindbox.mithrilsecurity.io/en/latest/'>docs</a>.</p><p style='text-align: left; color: white; font-size: 18px;'>You can see how we deployed SantaCoder with an Azure Confidential VM by checking out the relevant <a style='color: #f0ba2d;', href='https://blindbox.mithrilsecurity.io/en/latest/docs/how-to-guides/santacoder/'>integration guide</a> in our docs.</p><p style='text-align: left; color: white; font-size: 18px;'>⚠️ <a style='color: #f0ba2d;', href='https://github.com/mithril-security/blindbox'>BlindBox</a> is still under development. We have implemented attestation and deployment on Confidential VMs, but we recommend not to send production data on this demo yet.</p><p style='text-align: left; color: white; font-size: 18px;'>If you are interested in pentesting, improving security or knowing more about Confidential LLMs, <a style='color: #f0ba2d' href='https://www.mithrilsecurity.io/contact'>reach out to us!</a></p>"
 def run_query(prompt):
     POLICY = "./cce_policy.txt"
     if prompt == None: