updated

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 from blindbox.requests import SecureSession
 
 DEMO_SERVER = "4.208.9.167:80"
+bullets = "<ul><li style='color: white;'>✅ Connection verified by attestation</li><li style='color: white;'>✅ Application deployed on Confidential VM</li></ul><p style='color: white;'>Features coming soon:</p><ul><li style='color: white;'>⌛ TLS</li><li style='color: white;'>⌛ Network isolation</li></ul>"
 
 def run_query( server, prompt):
     if server == "Non-confidential VM server":
@@ -9,22 +10,23 @@ def run_query( server, prompt):
     POLICY = "./cce_policy.txt"
     if prompt == None:
         return ("⛔ Error: please provide input code")
+    message = "\n\n✅ Secure query succesful"
     try:
         with SecureSession(f"http://{DEMO_SERVER}", POLICY) as secure_session:
             res = secure_session.post(endpoint="/generate", json={"input_text": prompt})
             cleaned = res.text.replace('\\n', '\n').split('\n\n')[0].split(':"')[1]
             cleaned = cleaned.replace('\\', '')
-            return(cleaned + "\n\n✅ Input is end-to-end protected\nUser data is protected by a highly isolated and secure environment during runtime, meaning we, as the service providers, cannot access your input!")
+            return(cleaned + message)
     except Exception as err:
         return(f"⛔ Query failed!\n{err}")
 
-with gr.Blocks(css=".gradio-container {background-color: #20233fff}") as demo:
+with gr.Blocks(css=".gradio-container {background-color: #20233fff;}") as demo:
     gr.Markdown("<h1 style='text-align: center; color: white;'>🎅 SantaCoder with <span style='color: #f0ba2d;'>BlindBox:</span> Private Code Generation </h1>")
-    
-    gr.Markdown("<p style='text-align: left; color: white;'>This is our demo for our <a style='color: #f0ba2d;', href='https://blog-mithril-security.ghost.io/ai-assisted-code-generation-with-privacy-guarantees-securely-deploy-santacoder-with-blindbox'>article</a> on deploying code generation LLM models with BlindBox. The user input is <a style='color:  #f0ba2d;', href='https://blindbox.mithrilsecurity.io/en/latest/docs/getting-started/confidential_computing/'>end-to-end protected.</a></p>")
+    gr.Markdown("<p style='text-align: left; color: white;'>This is our demo for our <a style='color: #f0ba2d;', href='https://blog-mithril-security.ghost.io/ai-assisted-code-generation-with-privacy-guarantees-securely-deploy-santacoder-with-blindbox'>article</a> on deploying code generation LLM models with BlindBox. The user input is <a style='color:  #f0ba2d;', href='https://blindbox.mithrilsecurity.io/en/latest/docs/getting-started/confidential_computing/'>protected during computation.</a></p>")
     gr.Markdown("<p style='text-align: left; color: white;'>You can see how we deployed the model in the integration section of our <a style='color:  #f0ba2d;', href='https://blindbox.mithrilsecurity.io/en/latest/docs/how-to-guides/santacoder/'>documentation!</a></p>")
     gr.Markdown("<p style='text-align: left; color: white;'>⚠️ BlindBox is still under development. Do not test with production data!</p>")
-    
+    gr.Markdown(value=bullets)
+
     _, colum_2, _ = gr.Column(scale=1), gr.Column(scale=6), gr.Column(scale=1)
     with colum_2:
         prompt = gr.Code(lines=3, language="python", label="Input code", value="def hello_name(name):")
@@ -37,7 +39,6 @@ with gr.Blocks(css=".gradio-container {background-color: #20233fff}") as demo:
     with gr.Column():
         output = gr.Textbox(placeholder="Output", label="Output")
     trigger.click(fn=run_query, inputs=[server, prompt], outputs=output)
-    gr.HTML(label="Contact", value="<img src='https://github.com/mithril-security/blindbox/blob/main/docs/assets/logo.png?raw=true.png' alt='contact' style='display: block; margin: auto; max-width: 200px;'>")
-
+    gr.HTML(label="Contact", value="<img src='https://github.com/mithril-security/blindbox/blob/laura-images/docs/assets/contact-us.png?raw=true.png' alt='contact' style='display: block; margin: auto; max-width: 600px;'>")
 if __name__ == "__main__":
     demo.launch()