Update app.py

app.py

@@ -54,7 +54,12 @@ if st.session_state.logged_in:
     data = {
         "🏢 Company": ["AWS", "AWS", "AWS", "Azure"],
         "📝 Task": ["💻 Code assist", "🧠 Protein Compound", "💻 Code assist", "💻 Code assist"],
-        "🖥️ Instance Type": ["t2.micro (1 vcpu, 1.0 GiB memory)", "t2.micro (1 vcpu, 1.0 GiB memory)", "t2.micro (1 vcpu, 1.0 GiB memory)", "Standard DS1 v2 (1 vcpu, 3.5 GiB memory)"],
+        "🖥️ Instance Type": [
+            "t2.micro (1 vcpu, 1.0 GiB memory)", 
+            "t2.micro (1 vcpu, 1.0 GiB memory)", 
+            "t2.micro (1 vcpu, 1.0 GiB memory)", 
+            "Standard DS1 v2 (1 vcpu, 3.5 GiB memory)"
+        ],
         "🚀 GPU Accelerator": ["A40, 9 vCPU 50 GB RAM", "A40, 9 vCPU 50 GB RAM", "A100, 24 vCPU 125 GB RAM", "A100, 24 vCPU 125 GB RAM"],
         "💰 Price": ["$0.67 / hour", "$0.78 / hour", "$1.89 / hour", "$0.78 / hour"],
         "🌐 IPv4": [
@@ -62,7 +67,10 @@ if st.session_state.logged_in:
             f"[Link]({BASE_CONTENT_PROTEIN_T2_MICRO})",
             f"[Link]({BASE_CONTENT_CODE_ASSIST_T2_MICRO})",
             f"[Link]({BASE_CONTENT_CODE_ASSIST_DS1})"
-        ]
+        ],
+        "🛡️ HIPAA": ["✅", "✅", "✅", "✅"],  # All rows have HIPAA compliance
+        "📊 SOC1-3": ["✅", "✅", "✅", "✅"],  # All rows have SOC1-3 compliance
+        "💳 PCI DSS": ["✅", "✅", "✅", "✅"]  # All rows have PCI DSS compliance
     }
 
     # Convert the data to a DataFrame
@@ -115,6 +123,10 @@ if st.session_state.logged_in:
         When you make a suggestion, also make sure to mention, for first time user, use sample login info:
         username={JUPYTER_USERNAME}, and password={JUPYTER_PASSWORD} when click on the link recommended.
 
+        User can also ask you certification eligibility. Currently, the data provided above has check marks.
+        The check marks indicate which certification and data protection eligibility each instance has.
+        You can recommend each instance according to user question if user asks about this part.
+
         """})
         st.session_state.messages.append({"role": "user", "content": prompt})