Merge pull request #116 from Azure-Samples/gk/generative-usecases

Azure-Samples · Jul 13, 2023 · b61fdd6 · b61fdd6
2 parents 4b6f57c + 6a2e1bc
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diff --git a/README.md b/README.md
@@ -85,7 +85,11 @@ This will be similar to [reddog](https://reddog-solutions.com) product [image ge
 
 ## Tech Stack
 
-<TODO>
+### Copilot Stack
+
+![copilot stack](./assets/images/copilot-stack.png)
+
+### Services and capabilities
 
 - [Azure OpenAI](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/concepts/models)
   - gpt-4

diff --git a/assets/images/copilot-stack.png b/assets/images/copilot-stack.png
diff --git a/usecases/generative/sk-c#/sql-code-gen.ipynb b/usecases/generative/sk-c#/sql-code-gen.ipynb
@@ -68,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 2,
    "metadata": {
     "dotnet_interactive": {
      "language": "csharp"
@@ -91,12 +91,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 3. Create a Semantic Function (Prompt Template) and execute an ask with LLM"
+    "#### 3. Create a Semantic Function (Prompt Template) with a one-shot example"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 3,
    "metadata": {
     "dotnet_interactive": {
      "language": "csharp"
@@ -110,7 +110,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Most expensive purchase in the last year\r\n"
+      "{\"Name\":\"funcb9320cfb40b149b292c8e62fadc275b3\",\"SkillName\":\"_GLOBAL_FUNCTIONS_\",\"Description\":\"Generic function, unknown purpose\",\"IsSemantic\":true,\"IsSensitive\":false,\"TrustServiceInstance\":{},\"RequestSettings\":{\"Temperature\":0,\"TopP\":0.5,\"PresencePenalty\":0,\"FrequencyPenalty\":0,\"MaxTokens\":200,\"StopSequences\":[],\"ResultsPerPrompt\":1,\"ChatSystemPrompt\":\"Assistant is a large language model.\",\"TokenSelectionBiases\":{}},\"Parameters\":[{\"Name\":\"input\",\"Description\":\"\",\"DefaultValue\":\"\"}]}\r\n"
      ]
     }
    ],
@@ -145,26 +145,86 @@
     "Question: {input}.\n",
     "\";\n",
     "\n",
+    "// create semantic function\n",
+    "var textToSQL = kernel.CreateSemanticFunction(skPrompt, maxTokens: 200, temperature: 0, topP: 0.5);\n",
+    "Console.WriteLine(textToSQL.ToString());"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### 3. Create Context variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "dotnet_interactive": {
+     "language": "csharp"
+    },
+    "polyglot_notebook": {
+     "kernelName": "csharp"
+    }
+   },
+   "outputs": [],
+   "source": [
     "var tableInfo = @\"\n",
     "    Users table has columns: user_id, first_name, last_name, and email.\n",
     "    Transactions table has columns: transaction_id, user_id, transaction_amount, transaction_date, and transaction_type.\n",
     "\";\n",
     "\n",
-    "// create semantic function\n",
-    "var textToSQL = kernel.CreateSemanticFunction(skPrompt, maxTokens: 200, temperature: 0, topP: 0.5);\n",
-    "\n",
     "// context variables\n",
     "var context = kernel.CreateNewContext();\n",
     "context[\"dialect\"] = \"PostgreSQL\";\n",
-    "context[\"tableInfo\"] = tableInfo;\n",
-    "// ask\n",
+    "context[\"tableInfo\"] = tableInfo;"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### 4. Generate SQL from natural language"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "dotnet_interactive": {
+     "language": "csharp"
+    },
+    "polyglot_notebook": {
+     "kernelName": "csharp"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "SQLQuery: SELECT \n",
+      "                u.user_id,\n",
+      "                u.first_name,\n",
+      "                u.last_name,\n",
+      "                MAX(t.transaction_amount) AS most_expensive_purchase\n",
+      "            FROM \n",
+      "                users u\n",
+      "            JOIN \n",
+      "                transactions t ON u.user_id = t.user_id\n",
+      "            WHERE \n",
+      "                t.transaction_date >= DATE_TRUNC('year', CURRENT_DATE - INTERVAL '1 year')\n",
+      "            GROUP BY \n",
+      "                u.user_id, u.first_name, u.last_name;\r\n"
+     ]
+    }
+   ],
+   "source": [
     "context[\"input\"] = \"Most expensive purchase in the last year\";\n",
-    "\n",
-    "Console.WriteLine(context);\n",
-    "\n",
-    "var summary = await textToSQL.InvokeAsync(context);\n",
-    "\n",
-    "Console.WriteLine(summary);"
+    "var sql = await textToSQL.InvokeAsync(context);\n",
+    "Console.WriteLine(sql);"
    ]
   }
  ],