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Add ad auth to embeddings example

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Christian Muertz 2022-12-19 10:25:32 +01:00
parent 53a9891133
commit ca628a18be
1 changed files with 61 additions and 12 deletions
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examples/azure/embeddings.ipynb
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@ -24,8 +24,7 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## Setup\n", "## Setup\n",
"In the following section the endpoint and key need to be set up of the next sections to work. \\\n", "For the following sections to work properly we first have to setup some things. Let's start with the `api_type`, `api_base` and `api_version`. To find your `api_base` go to https://portal.azure.com, find your resource and then under \"Resource Management\" -> \"Keys and Endpoints\" look for the \"Endpoint\" value."
"Please go to https://portal.azure.com, find your resource and then under \"Resource Management\" -> \"Keys and Endpoints\" look for the \"Endpoint\" value and one of the Keys. They will act as api_base and api_key in the code below."
] ]
}, },
{ {
@ -34,11 +33,61 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"openai.api_key = '' # Please add your api key here\n",
"openai.api_base = '' # Please add your endpoint here\n",
"\n",
"openai.api_type = 'azure'\n", "openai.api_type = 'azure'\n",
"openai.api_version = '2022-12-01' # this may change in the future" "openai.api_version = '2022-12-01'\n",
"\n",
"openai.api_base = '' # Please add your endpoint here"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"We next have to setup the `api_key`. We can either get the key from the portal or we can get it through Microsoft Active Directory Authentication."
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Setup: Portal\n",
"Let's first look at getting the key from the portal. Go to https://portal.azure.com, find your resource and then under \"Resource Management\" -> \"Keys and Endpoints\" look for one of the \"Keys\" values."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"openai.api_key = '' # Please add your api key here"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### (Optional) Setup: Microsoft Active Directory Authentication\n",
"Let's now see how we can get a key via Microsoft Active Directory Authentication."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\"\"\"\n",
"from azure.identity import DefaultAzureCredential\n",
"\n",
"default_credential = DefaultAzureCredential()\n",
"token = default_credential.get_token(\"https://cognitiveservices.azure.com/.default\")\n",
"\n",
"openai.api_key = token.token\n",
"\"\"\""
] ]
}, },
{ {
@ -53,15 +102,15 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"### Deployments: Create Manually\n", "### Deployments: Create manually\n",
"Let's create a deployment using the `text-similarity-curie-001` engine. Create a new deployment by going to your Resource in your portal under \"Resource Management\" -> \"Deployments\"." "Let's create a deployment using the `text-similarity-curie-001` model. Create a new deployment by going to your Resource in your portal under \"Resource Management\" -> \"Model deployments\"."
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"### (Optional) Deployments: Create Programatically\n", "### (Optional) Deployments: Create programatically\n",
"We can also create a deployment using code:" "We can also create a deployment using code:"
] ]
}, },
@ -174,7 +223,7 @@
], ],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": "Python 3 (ipykernel)", "display_name": "Python 3",
"language": "python", "language": "python",
"name": "python3" "name": "python3"
}, },
@ -188,11 +237,11 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.8.10" "version": "3.10.8"
}, },
"vscode": { "vscode": {
"interpreter": { "interpreter": {
"hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" "hash": "3a5103089ab7e7c666b279eeded403fcec76de49a40685dbdfe9f9c78ad97c17"
} }
} }
}, },