Added new column 'deploymeny configs' to the itable that copies the config code into user's clipboard

moved location of file and get SDK config works for IDE now

supported copying to clipboard for either jupyter notebook or IDE's

Author: Mohamed Zeidan

…pstart_public_hub_visualization_utils.py …pstart_public_hub_visualization_utils.pyexamples/inference/SDK/jumpstart_public_hub_visualization_utils.py renamed to src/sagemaker/hyperpod/inference/jumpstart_public_hub_visualization_utils.py examples/inference/SDK/jumpstart_public_hub_visualization_utils.py renamed to src/sagemaker/hyperpod/inference/jumpstart_public_hub_visualization_utils.py

@@ -19,6 +19,7 @@
 import itables
 import pandas
 import logging
+import json
 from botocore.config import Config
 from ipywidgets import Button, Output
 from IPython.display import display
@@ -160,6 +161,7 @@ def _get_model_summary(self, full_summary):
             "Model Type": model_type,
             "Model Description": full_summary["HubContentDescription"],
             "Search Keywords": keywords,
+            "Deployment Configs": self._create_config_link(full_summary["HubContentName"]),
         }
 
     def _determine_model_type(self, keywords, model_id):
@@ -180,6 +182,77 @@ def _get_hub_document(self, model_id):
             HubContentType="Model", 
             HubContentName=model_id
         )["HubContentDocument"]
+    
+    def _get_supported_instance_types(self, model_id):
+        """Extract supported instance types from hub document."""
+        try:
+            hub_doc = self._get_hub_document(model_id)
+            doc_data = json.loads(hub_doc)
+            
+            supported_types = doc_data.get("SupportedInferenceInstanceTypes", [])
+            default_type = doc_data.get("DefaultInferenceInstanceType")
+            
+            if default_type and default_type in supported_types:
+                supported_types = [default_type] + [t for t in supported_types if t != default_type]
+            
+            return {"types": supported_types, "default": default_type, "error": None}
+        except Exception as e:
+            return {"types": [], "default": None, "error": str(e)}
+    
+    def _create_config_link(self, model_id):
+        """Create deployment config display."""
+        try:
+            # Try to detect if we're in a Jupyter environment that supports JavaScript
+            from IPython import get_ipython
+            ipython = get_ipython()
+            if ipython and 'ipykernel' in str(type(ipython)):
+                config_code = self._generate_deployment_config(model_id).replace('\n', '\\n').replace("'", "\\'")
+                return f'<a href="#" onclick="navigator.clipboard.writeText(\'{config_code}\'); alert(\'Config copied to clipboard!\'); return false;" style="color: #007bff; text-decoration: underline;">Get SDK Config</a>'
+        except:
+            pass
+        
+        # Fallback: display config directly
+        return f'<details><summary style="color: #007bff; cursor: pointer;">Get SDK Config</summary><pre style="font-size: 10px; background: #f5f5f5; padding: 5px; margin: 5px 0;">{self._generate_deployment_config(model_id)}</pre></details>'
+    
+    def _generate_deployment_config(self, model_id):
+        """Generate deployment configuration code for a model."""
+        instance_data = self._get_supported_instance_types(model_id)
+        supported_types = instance_data["types"]
+        default_type = instance_data["default"]
+        error = instance_data["error"]
+
+        if error:
+            instance_type = '<ENTER-INSTANCE-TYPE>'
+            types_comment = ""
+        else:
+            instance_type = default_type if default_type else '<ENTER-INSTANCE-TYPE>'
+            types_comment = f"# Supported instance types: {', '.join(supported_types)}" if supported_types else "# No supported instance types found"
+        
+        config_code = f'''# Deployment configuration for {model_id}
+from sagemaker.hyperpod.inference.config.hp_jumpstart_endpoint_config import Model, Server, SageMakerEndpoint
+from sagemaker.hyperpod.inference.hp_jumpstart_endpoint import HPJumpStartEndpoint
+
+{types_comment}
+
+# Create configs - REPLACE PLACEHOLDER VALUE BELOW
+model = Model(
+    model_id='{model_id}',
+)
+server = Server(
+    instance_type='{instance_type}',
+)
+endpoint_name = SageMakerEndpoint(name='<ENTER-YOUR-ENDPOINT-NAME>')
+
+# Create endpoint spec
+js_endpoint = HPJumpStartEndpoint(
+    model=model,
+    server=server,
+    sage_maker_endpoint=endpoint_name,
+)
+
+# Deploy the endpoint
+js_endpoint.create()'''
+        return config_code
 
 
 def get_all_public_hub_model_data(region: str):
@@ -198,7 +271,7 @@ def interactive_view(tabular_data: list):
     styled_df = _style_dataframe(df)
     layout = _get_table_layout(len(tabular_data))
 
-    itables.show(styled_df, layout=layout)
+    itables.show(styled_df, layout=layout, allow_html=True)
 
 
 def _configure_itables():