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fix embedding example
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‎Basic_Samples/Embeddings/dotnet/csharp/Comparing_embeddings.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Comparing text using embeddings"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Installation\n",
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"Install the Azure Open AI SDK using the below command."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"polyglot_notebook": {
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"kernelName": "csharp"
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},
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"vscode": {
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"languageId": "polyglot-notebook"
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}
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},
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"outputs": [],
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"source": [
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"#r \"nuget: Azure.AI.OpenAI, 1.0.0-beta.14\"\n",
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"#r \"nuget:Microsoft.DotNet.Interactive.AIUtilities, 1.0.0-beta.24129.1\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"polyglot_notebook": {
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"kernelName": "csharp"
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},
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"vscode": {
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"languageId": "polyglot-notebook"
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}
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},
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"outputs": [],
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"source": [
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"using Microsoft.DotNet.Interactive;"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Run this cell, it will prompt you for the apiKey, endPoint, and embedding deployment"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"polyglot_notebook": {
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"kernelName": "csharp"
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},
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"vscode": {
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"languageId": "polyglot-notebook"
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}
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},
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"outputs": [],
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"source": [
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"var azureOpenAIKey = await Kernel.GetPasswordAsync(\"Provide your OPEN_AI_KEY\");\n",
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"\n",
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"// Your endpoint should look like the following https://YOUR_OPEN_AI_RESOURCE_NAME.openai.azure.com/\n",
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"var azureOpenAIEndpoint = await Kernel.GetInputAsync(\"Provide the OPEN_AI_ENDPOINT\");\n",
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"\n",
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"// Enter the deployment name you chose when you deployed the model.\n",
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"var deployment = await Kernel.GetInputAsync(\"Provide embedding deployment name\");"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Import namesapaces and create an instance of `OpenAiClient` using the `azureOpenAIEndpoint` and the `azureOpenAIKey`"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"polyglot_notebook": {
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"kernelName": "csharp"
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},
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"vscode": {
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"languageId": "polyglot-notebook"
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}
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},
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"outputs": [],
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"source": [
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"using Azure;\n",
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"using Azure.AI.OpenAI;"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"polyglot_notebook": {
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"kernelName": "csharp"
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},
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"vscode": {
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"languageId": "polyglot-notebook"
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}
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},
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"outputs": [],
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"source": [
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"OpenAIClient client = new (new Uri(azureOpenAIEndpoint), new AzureKeyCredential(azureOpenAIKey.GetClearTextPassword()));"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Create some text"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"polyglot_notebook": {
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"kernelName": "csharp"
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},
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"vscode": {
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"languageId": "polyglot-notebook"
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}
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},
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"outputs": [],
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"source": [
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"var firstSentence = \"The quick brown fox jumps over the lazy dog\";\n",
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"var secondSentence = \"The quick fox jumps over the black dog\";"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Create text embeddings using the `deployment`"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"polyglot_notebook": {
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"kernelName": "csharp"
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},
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"vscode": {
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"languageId": "polyglot-notebook"
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}
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},
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"outputs": [],
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"source": [
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"var firstEmbeddings = (await client.GetEmbeddingsAsync(new EmbeddingsOptions(deployment, new []{ firstSentence }))).Value.Data[0].Embedding.ToArray();\n",
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"var secondEmbeddings = (await client.GetEmbeddingsAsync(new EmbeddingsOptions(deployment, new []{ secondSentence }))).Value.Data[0].Embedding.ToArray();"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# calculate Cosine Similarity"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"polyglot_notebook": {
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"kernelName": "csharp"
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},
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"vscode": {
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"languageId": "polyglot-notebook"
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}
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div class=\"dni-plaintext\"><pre>0.948887</pre></div><style>\r\n",
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".dni-code-hint {\r\n",
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" font-style: italic;\r\n",
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" overflow: hidden;\r\n",
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" white-space: nowrap;\r\n",
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"}\r\n",
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".dni-treeview {\r\n",
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" white-space: nowrap;\r\n",
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"}\r\n",
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".dni-treeview td {\r\n",
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" vertical-align: top;\r\n",
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" text-align: start;\r\n",
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"}\r\n",
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"details.dni-treeview {\r\n",
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" padding-left: 1em;\r\n",
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"}\r\n",
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"table td {\r\n",
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" text-align: start;\r\n",
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"}\r\n",
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"table tr { \r\n",
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" vertical-align: top; \r\n",
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" margin: 0em 0px;\r\n",
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"}\r\n",
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"table tr td pre \r\n",
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"{ \r\n",
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" vertical-align: top !important; \r\n",
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" margin: 0em 0px !important;\r\n",
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"} \r\n",
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"table th {\r\n",
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" text-align: start;\r\n",
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"}\r\n",
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"</style>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"using Microsoft.DotNet.Interactive.AIUtilities;\n",
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"\n",
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"var similarityComparer = new CosineSimilarityComparer<float[]>(f => f);\n",
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"var similarity = similarityComparer.Score(firstEmbeddings, secondEmbeddings);\n",
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"similarity.Display();"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "csharp"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎Basic_Samples/Embeddings/dotnet/csharp/Get_embeddings.ipynb‎

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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 2,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"outputs": [],
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"source": [
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"var azureOpenAIKey = \"e1b9ff2e05d24a9ea3731705903f9c95\";\n",
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"var azureOpenAIKey = await Kernel.GetPasswordAsync(\"Provide your OPEN_AI_KEY\");\n",
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"\n",
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"// Your endpoint should look like the following https://YOUR_OPEN_AI_RESOURCE_NAME.openai.azure.com/\n",
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"var azureOpenAIEndpoint = \"https://dicolomb-west-us.openai.azure.com\";\n",
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"var azureOpenAIEndpoint = await Kernel.GetInputAsync(\"Provide the OPEN_AI_ENDPOINT\");\n",
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"\n",
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"// Enter the deployment name you chose when you deployed the model.\n",
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"var deployment = \"text-embedding-ada-002\";"
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"var deployment = await Kernel.GetInputAsync(\"Provide embedding deployment name\");"
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 6,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"outputs": [],
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"source": [
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"OpenAIClient client = new (new Uri(azureOpenAIEndpoint), new AzureKeyCredential(azureOpenAIKey));"
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"OpenAIClient client = new (new Uri(azureOpenAIEndpoint), new AzureKeyCredential(azureOpenAIKey.GetClearTextPassword()));"
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]
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},
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{

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