Update app.py

app.py

@@ -13,6 +13,7 @@ JUPYTER_USERNAME = os.environ["JUPYTER_USERNAME"]
 JUPYTER_PASSWORD = os.environ["JUPYTER_PASSWORD"]
 BASE_CONTENT_CODE_ASSIST_T2_MICRO = os.environ["BASE_CONTENT_CODE_ASSIST_T2_MICRO"]
 BASE_CONTENT_PROTEIN_T2_MICRO = os.environ["BASE_CONTENT_PROTEIN_T2_MICRO"]
+BASE_CONTENT_CODE_ASSIST_DS1 = os.environ["BASE_CONTENT_CODE_ASSIST_DS1"]
 
 
 # Initialize session state
@@ -51,14 +52,17 @@ if st.session_state.logged_in:
     
     # Create the table data with hyperlink
     data = {
-        "📝 Task": ["💻 Code assist", "🧠 Protein Compound", "💻 Code assist"],
-        "🖥️ Instance Type": ["t2.micro", "t2.micro", "t2.micro"],
-        "🚀 GPU Accelerator": ["A40, 9 vCPU 50 GB RAM", "A40, 9 vCPU 50 GB RAM", "A100, 24 vCPU 125 GB RAM"],
-        "💰 Price": ["$0.67 / hour", "$0.78 / hour", "$1.89 / hour"],
+        "🏢 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)"],
+        "🚀 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": [
             f"[Link]({BASE_CONTENT_CODE_ASSIST_T2_MICRO})",
             f"[Link]({BASE_CONTENT_PROTEIN_T2_MICRO})",
-            f"[Link]({BASE_CONTENT_CODE_ASSIST_T2_MICRO})"]
+            f"[Link]({BASE_CONTENT_CODE_ASSIST_T2_MICRO})",
+            f"[Link]({BASE_CONTENT_CODE_ASSIST_DS1})"
+        ]
     }
 
     # Convert the data to a DataFrame